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ORCIDMiguel R. D. Rodrigues
Miguel Rodrigues 0001 – Miguel Raul Dias Rodrigues
Person information
- affiliation: University College London, Deptartment of Electronic & Electrical Engineering
Other persons with the same name
- Miguel Rodrigues — disambiguation page
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2020 – today
- 2024
[j60]Gholamali Aminian
, Mohammad Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. IEEE J. Sel. Areas Inf. Theory 5: 273-284 (2024)- [j59]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory 70(1): 632-655 (2024) - [j58]Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues:
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j57]Chao Zhou, Miguel R. D. Rodrigues:
Hyperspectral Blind Unmixing Using a Double Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16478-16492 (2024) - [j56]Basheeruddin Shah Shaik, Pradyumna Pradhan, Wei Pu, Ramunaidu Randhi, Miguel R. D. Rodrigues, Yonina C. Eldar:
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding. IEEE Trans. Signal Process. 72: 3272-3286 (2024) - [c110]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR 2024 - [i70]Martin Ferianc, Hongxiang Fan, Miguel Rodrigues:
SAE: Single Architecture Ensemble Neural Networks. CoRR abs/2402.06580 (2024) - [i69]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Federated Fairness without Access to Sensitive Groups. CoRR abs/2402.14929 (2024) - 2023
- [j55]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy 25(7): 1063 (2023) - [j54]Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel R. D. Rodrigues:
Deep Joint Source-Channel Coding for Image Transmission With Visual Protection. IEEE Trans. Cogn. Commun. Netw. 9(6): 1399-1411 (2023) - [j53]Wei Pu, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
Image Separation With Side Information: A Connected Auto-Encoders Based Approach. IEEE Trans. Image Process. 32: 2931-2946 (2023) - [c109]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023: 8494-8520 - [c108]Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues:
BITS-Net: Blind Image Transparency Separation Network. ICIP 2023: 375-379 - [c107]Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar:
Generalization and Estimation Error Bounds for Model-based Neural Networks. ICLR 2023 - [c106]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT 2023: 2488-2493 - [c105]Vittorio Casagrande, Martin Ferianc, Miguel Rodrigues, Francesca Boem:
An Online Learning Method for Microgrid Energy Management Control*. MED 2023: 263-268 - [i68]Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar:
Generalization and Estimation Error Bounds for Model-based Neural Networks. CoRR abs/2304.09802 (2023) - [i67]Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell:
On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR abs/2304.14332 (2023) - [i66]Daniel Jakubovitz, David Uliel, Miguel R. D. Rodrigues, Raja Giryes:
An information-Theoretic Approach to Semi-supervised Transfer Learning. CoRR abs/2306.06731 (2023) - [i65]Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues:
Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR abs/2306.17630 (2023) - [i64]Shaik Basheeruddin Shah, Pradyumna Pradhan, Wei Pu, Ramunaidu Randhi, Miguel R. D. Rodrigues, Yonina C. Eldar:
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding. CoRR abs/2309.06195 (2023) - 2022
- [j52]Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar:
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. IEEE J. Sel. Areas Inf. Theory 3(3): 433-453 (2022) - [j51]Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos:
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. IEEE J. Sel. Top. Signal Process. 16(4): 603-607 (2022) - [j50]Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk:
FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5343-5356 (2022) - [j49]Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun, Miguel R. D. Rodrigues:
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2315-2328 (2022) - [j48]Chao Zhou, Miguel R. D. Rodrigues:
ADMM-Based Hyperspectral Unmixing Networks for Abundance and Endmember Estimation. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j47]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks With Concealed Designs. IEEE Trans. Image Process. 31: 4458-4473 (2022) - [j46]Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk:
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. 33(12): 3387-3399 (2022) - [c104]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS 2022: 7433-7449 - [c103]Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS 2022: 8673-8699 - [c102]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. FAccT 2022: 142-159 - [c101]Chao Zhou, Miguel R. D. Rodrigues:
Blind Unmixing Using A Double Deep Image Prior. ICASSP 2022: 1665-1669 - [c100]Wei Pu, Yonina C. Eldar, Miguel R. D. Rodrigues:
Optimization Guarantees for ISTA and ADMM Based Unfolded Networks. ICASSP 2022: 8687-8691 - [c99]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT 2022: 2481-2486 - [i63]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. CoRR abs/2201.08304 (2022) - [i62]Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks with Concealed Designs. CoRR abs/2201.09167 (2022) - [i61]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR abs/2202.12123 (2022) - [i60]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR abs/2202.12150 (2022) - [i59]Martin Ferianc, Miguel Rodrigues:
Simple Regularisation for Uncertainty-Aware Knowledge Distillation. CoRR abs/2205.09526 (2022) - [i58]Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar:
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. CoRR abs/2206.14373 (2022) - [i57]Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues:
Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR abs/2209.07148 (2022) - [i56]Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues:
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. CoRR abs/2210.00483 (2022) - [i55]Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan:
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR abs/2210.08188 (2022) - [i54]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR abs/2210.09864 (2022) - 2021
- [j45]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Deep Learning Model-Aware Regulatization With Applications to Inverse Problems. IEEE Trans. Signal Process. 69: 6371-6385 (2021) - [c98]Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk:
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC 2021: 1063-1068 - [c97]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers. EUSIPCO 2021: 1481-1485 - [c96]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. EUSIPCO 2021: 1491-1495 - [c95]Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues:
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT 2021: 1-10 - [c94]Jianjun Zhang, Christos Masouros, Miguel Rodrigues:
Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach. GLOBECOM 2021: 1-6 - [c93]Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues:
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) 2021: 483-494 - [c92]Chao Zhou, Miguel R. D. Rodrigues:
An ADMM Based Network for Hyperspectral Unmixing Tasks. ICASSP 2021: 1870-1874 - [c91]Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues:
REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch. ICASSP 2021: 2885-2889 - [c90]Wei Chen, David Wipf, Miguel Rodrigues:
Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework. ICASSP 2021: 8098-8102 - [c89]Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro:
Blind Pareto Fairness and Subgroup Robustness. ICML 2021: 7492-7501 - [c88]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. ISIT 2021: 682-687 - [c87]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP 2021: 1-6 - [c86]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS 2021: 8106-8118 - [c85]Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues:
On the effects of quantisation on model uncertainty in Bayesian neural networks. UAI 2021: 929-938 - [i53]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. CoRR abs/2102.02016 (2021) - [i52]Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues:
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. CoRR abs/2102.11062 (2021) - [i51]Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues:
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR abs/2104.06957 (2021) - [i50]Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk:
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR abs/2105.09163 (2021) - [i49]Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues:
High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR abs/2106.06048 (2021) - [i48]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR abs/2107.13656 (2021) - [i47]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Federating for Learning Group Fair Models. CoRR abs/2110.01999 (2021) - [i46]Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues:
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover. CoRR abs/2110.10391 (2021) - [i45]Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR abs/2111.01635 (2021) - [i44]Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel R. D. Rodrigues:
Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach. CoRR abs/2111.03234 (2021) - 2020
- [j44]Majid Zamani, Jure Sokolic, Dai Jiang, Francesco Renna, Miguel R. D. Rodrigues, Andreas Demosthenous:
Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning. IEEE Trans. Biomed. Circuits Syst. 14(2): 221-231 (2020) - [j43]Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging 6: 57-72 (2020) - [j42]Xin Deng, Pingfan Song, Miguel R. D. Rodrigues, Pier Luigi Dragotti:
RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2447-2462 (2020) - [j41]Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues:
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. IEEE Trans. Medical Imaging 39(3): 621-633 (2020) - [j40]Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues:
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. IEEE Trans. Signal Process. 68: 558-572 (2020) - [c84]Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. ICASSP 2020: 2213-2217 - [c83]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. ITW 2020: 1-5 - [i43]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Model-Aware Regularization For Learning Approaches To Inverse Problems. CoRR abs/2006.10869 (2020) - [i42]Martin Ferianc, Hongxiang Fan, Miguel Rodrigues:
VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR abs/2007.06103 (2020) - [i41]Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
Image Separation with Side Information: A Connected Auto-Encoders Based Approach. CoRR abs/2009.07889 (2020) - [i40]Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. CoRR abs/2010.12664 (2020)
2010 – 2019
- 2019
- [j39]Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Asymptotic Task-Based Quantization With Application to Massive MIMO. IEEE Trans. Signal Process. 67(15): 3995-4012 (2019) - [j38]Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Hardware-Limited Task-Based Quantization. IEEE Trans. Signal Process. 67(20): 5223-5238 (2019) - [c82]Pingfan Song, Yonina C. Eldar, Gal Mazor, Miguel R. D. Rodrigues:
Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network. ICASSP 2019: 1040-1044 - [c81]Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Task-Based Quantization for Massive MIMO Channel Estimation. ICASSP 2019: 4489-4493 - [c80]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-Supervised Transfer Learning. ICCV Workshops 2019: 763-767 - [c79]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [c78]Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Hardware-Limited Task-Based Quantization. SPAWC 2019: 1-5 - [i39]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Deep Learning for Inverse Problems: Bounds and Regularizers. CoRR abs/1901.11352 (2019) - [i38]Pingfan Song, Yonina C. Eldar, Gal Mazor, Miguel R. D. Rodrigues:
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting. CoRR abs/1902.02882 (2019) - [i37]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-supervised Transfer Learning. CoRR abs/1904.01670 (2019) - 2018
- [j37]Miguel R. D. Rodrigues, Helmut Bölcskei, Stark C. Draper, Yonina C. Eldar, Vincent Yan Fu Tan:
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing. IEEE J. Sel. Top. Signal Process. 12(5): 821-824 (2018) - [j36]Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues:
Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals? IEEE Trans. Signal Process. 66(9): 2314-2329 (2018) - [c77]Jaweria Amjad, Jure Sokolic, Miguel R. D. Rodrigues:
On Deep Learning for Inverse Problems. EUSIPCO 2018: 1895-1899 - [c76]Zahra Sabetsarvestani, Franz J. Király, Miguel R. D. Rodrigues:
Entry-wise Matrix Completion from Noisy Entries. EUSIPCO 2018: 2603-2607 - [c75]Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues:
Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. GlobalSIP 2018: 351-355 - [c74]Pingfan Song, Miguel R. D. Rodrigues:
Multimodal Image Denoising Based on Coupled Dictionary Learning. ICIP 2018: 515-519 - [c73]Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues:
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. ICIP 2018: 2880-2884 - [c72]Pingfan Song, Miguel R. D. Rodrigues:
Multi-Modal Image Processing Based on Coupled Dictionary Learning. SPAWC 2018: 1-5 - [c71]Evangelos Zimos, João F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis:
Data aggregation and recovery for the Internet of Things: A compressive demixing approach. WCNC 2018: 1-6 - [i36]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. CoRR abs/1805.07410 (2018) - [i35]Pingfan Song, Miguel R. D. Rodrigues:
Multi-modal Image Processing based on Coupled Dictionary Learning. CoRR abs/1806.09882 (2018) - [i34]Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues:
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction. CoRR abs/1806.09930 (2018) - [i33]Pingfan Song, Miguel R. D. Rodrigues:
Multimodal Image Denoising based on Coupled Dictionary Learning. CoRR abs/1806.10678 (2018) - [i32]Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Hardware-Limited Task-Based Quantization. CoRR abs/1807.08305 (2018) - [i31]Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues:
Generalization Error in Deep Learning. CoRR abs/1808.01174 (2018) - 2017
- [j35]Liming Wang, Minhua Chen, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin:
Information-Theoretic Compressive Measurement Design. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1150-1164 (2017) - [j34]Nikos Deligiannis, João F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues:
Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior. IEEE Trans. Commun. 65(12): 5333-5347 (2017) - [j33]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. 26(2): 751-764 (2017) - [j32]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds. IEEE Trans. Inf. Theory 63(7): 4472-4496 (2017) - [j31]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. 65(16): 4265-4280 (2017) - [c70]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. AISTATS 2017: 1094-1103 - [c69]Miguel R. D. Rodrigues, Nikos Deligiannis, Lifeng Lai, Yonina C. Eldar:
Rate-distortion trade-offs in acquisition of signal parameters. ICASSP 2017: 6105-6109 - [c68]Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro:
Learning to Identify While Failing to Discriminate. ICCV Workshops 2017: 2537-2544 - [i30]Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR abs/1705.08197 (2017) - [i29]Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries. CoRR abs/1709.08680 (2017) - 2016
- [j30]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory 62(11): 6459-6492 (2016) - [j29]Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification. IEEE Trans. Signal Process. 64(12): 3035-3050 (2016) - [j28]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. 64(14): 3651-3666 (2016) - [j27]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Bounds on the Number of Measurements for Reliable Compressive Classification. IEEE Trans. Signal Process. 64(22): 5778-5793 (2016) - [c67]Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis:
Bayesian Compressed Sensing with Heterogeneous Side Information. DCC 2016: 191-200 - [c66]Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Coupled dictionary learning for multimodal image super-resolution. GlobalSIP 2016: 162-166 - [c65]Liming Wang, Francesco Renna, Xin Yuan, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A general framework for reconstruction and classification from compressive measurements with side information. ICASSP 2016: 4239-4243 - [c64]Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues:
Signal reconstruction in the presence of side information: The impact of projection kernel design. ICASSP 2016: 4618-4622 - [c63]João F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues:
Reference-based compressed sensing: A sample complexity approach. ICASSP 2016: 4687-4691 - [c62]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
X-ray image separation via coupled dictionary learning. ICIP 2016: 3533-3537 - [c61]George Smart, John S. Atkinson, John E. Mitchell, Miguel Rodrigues, Yiannis Andreopoulos:
Energy harvesting for the Internet-of-Things: Measurements and probability models. ICT 2016: 1-6 - [c60]Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis:
Internet-of-Things data aggregation using compressed sensing with side information. ICT 2016: 1-5 - [c59]Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues:
On the design of linear projections for compressive sensing with side information. ISIT 2016: 670-674 - [c58]Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel Raul Dias Rodrigues:
Measurement matrix design for compressive sensing with side information at the encoder. SSP 2016: 1-5 - [i28]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
X-ray image separation via coupled dictionary learning. CoRR abs/1605.06474 (2016) - [i27]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Margin Preservation of Deep Neural Networks. CoRR abs/1605.08254 (2016) - [i26]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Bounds on the Number of Measurements for Reliable Compressive Classification. CoRR abs/1607.02801 (2016) - [i25]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
Multi-modal dictionary learning for image separation with application in art investigation. CoRR abs/1607.04147 (2016) - [i24]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. CoRR abs/1610.04574 (2016) - 2015
- [j26]Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin:
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 8(3): 1923-1954 (2015) - [j25]Wei Chen, Ian J. Wassell, Miguel R. D. Rodrigues:
Dictionary Design for Distributed Compressive Sensing. IEEE Signal Process. Lett. 22(1): 95-99 (2015) - [j24]Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank:
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. IEEE Trans. Inf. Theory 61(4): 2133-2147 (2015) - [c57]Jure Sokolic, Majid Zamani, Andreas Demosthenous, Miguel R. D. Rodrigues:
A feature design framework for hardware efficient neural spike sorting. EMBC 2015: 1516-1519 - [c56]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro:
Alignment with intra-class structure can improve classification. ICASSP 2015: 1921-1925 - [c55]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP 2015: 3332-3336 - [c54]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and reconstruction of compressed GMM signals with side information. ISIT 2015: 994-998 - [c53]Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Mismatch in the classification of linear subspaces: Upper bound to the probability of error. ISIT 2015: 2201-2205 - [c52]Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A concentration-of-measure inequality for multiple-measurement models. ISIT 2015: 2341-2345 - [i23]João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues:
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR abs/1503.03231 (2015) - [i22]Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification. CoRR abs/1508.01720 (2015) - 2014
- [j23]Ke Zhang, Martin Tomlinson, Mohammed Zaki Ahmed, Marcel Ambroze, Miguel R. D. Rodrigues:
Best binary equivocation code construction for syndrome coding. IET Commun. 8(10): 1696-1704 (2014) - [j22]Miguel R. D. Rodrigues:
Multiple-Antenna Fading Channels With Arbitrary Inputs: Characterization and Optimization of the Information Rate. IEEE Trans. Inf. Theory 60(1): 569-585 (2014) - [j21]Liming Wang, David Edwin Carlson, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels. IEEE Trans. Inf. Theory 60(5): 2611-2629 (2014) - [j20]Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues:
Fading Channels With Arbitrary Inputs: Asymptotics of the Constrained Capacity and Information and Estimation Measures. IEEE Trans. Inf. Theory 60(9): 5653-5672 (2014) - [j19]Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements. IEEE Trans. Signal Process. 62(9): 2265-2277 (2014) - [c51]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed sensing with side information: Geometrical interpretation and performance bounds. GlobalSIP 2014: 512-516 - [c50]Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank:
Information-theoretic criteria for the design of compressive subspace classifiers. ICASSP 2014: 3067-3071 - [c49]Rohit Negi, Vinay Uday Prabhu, Miguel R. D. Rodrigues:
Latent sentiment detection in Online Social Networks: A communications-oriented view. ICC 2014: 3758-3763 - [c48]Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
Nonlinear Information-Theoretic Compressive Measurement Design. ICML 2014: 1161-1169 - [c47]Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank:
Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers. ISIT 2014: 3012-3016 - [i21]Rohit Negi, Vinay Uday Prabhu, Miguel R. D. Rodrigues:
Latent Sentiment Detection in Online Social Networks: A Communications-oriented View. CoRR abs/1401.2113 (2014) - [i20]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation. CoRR abs/1401.6962 (2014) - [i19]Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank:
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. CoRR abs/1404.5187 (2014) - [i18]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds. CoRR abs/1408.5250 (2014) - [i17]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds. CoRR abs/1410.2724 (2014) - [i16]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR abs/1412.0614 (2014) - 2013
- [j18]Wei Chen, Miguel R. D. Rodrigues:
Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications. IEEE Signal Process. Lett. 20(10): 992-995 (2013) - [j17]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach. IEEE Trans. Signal Process. 61(8): 2016-2029 (2013) - [j16]Hugo Reboredo, João M. F. Xavier, Miguel R. D. Rodrigues:
Filter Design With Secrecy Constraints: The MIMO Gaussian Wiretap Channel. IEEE Trans. Signal Process. 61(15): 3799-3814 (2013) - [c46]Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. GlobalSIP 2013: 628 - [c45]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Projections designs for compressive classification. GlobalSIP 2013: 1029-1032 - [c44]Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues:
Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing? GLOBECOM 2013: 474-479 - [c43]Francesco Renna, Miguel R. D. Rodrigues, Minhua Chen, A. Robert Calderbank, Lawrence Carin:
Compressive sensing for incoherent imaging systems with optical constraints. ICASSP 2013: 5484-5488 - [c42]Munnujahan Ara, Hugo Reboredo, Francesco Renna, Miguel R. D. Rodrigues:
Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer. ICC 2013: 3413-3417 - [c41]Angelos K. Marnerides, Simon Malinowski, Ricardo Morla, Miguel R. D. Rodrigues, Hyong S. Kim:
On the comprehension of DSL SyncTrap events in IPTV networks. ISCC 2013: 670-675 - [c40]Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin:
Generalized Bregman divergence and gradient of mutual information for vector Poisson channels. ISIT 2013: 454-458 - [c39]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Compressive classification. ISIT 2013: 674-678 - [c38]Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues:
Characterization and optimization of the constrained capacity of coherent fading channels driven by arbitrary inputs: A Mellin transform based asymptotic approach. ISIT 2013: 2079-2083 - [c37]Matthew S. Nokleby, A. Robert Calderbank, Miguel R. D. Rodrigues:
Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold. ITW 2013: 1-5 - [c36]Liming Wang, David E. Carlson, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin:
Designed Measurements for Vector Count Data. NIPS 2013: 1142-1150 - [i15]Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin:
Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels. CoRR abs/1301.6648 (2013) - [i14]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
Projection Design For Statistical Compressive Sensing: A Tight Frame Based Approach. CoRR abs/1302.0635 (2013) - [i13]Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues:
Compressive Classification. CoRR abs/1302.4660 (2013) - [i12]Hugo Reboredo, João M. F. Xavier, Miguel R. D. Rodrigues:
Filter Design with Secrecy Constraints: The MIMO Gaussian Wiretap Channel. CoRR abs/1305.0412 (2013) - [i11]Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond. CoRR abs/1307.0861 (2013) - [i10]Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues:
Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing? CoRR abs/1310.4761 (2013) - [i9]Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues:
Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing. CoRR abs/1312.4207 (2013) - 2012
- [j15]William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
Communications-Inspired Projection Design with Application to Compressive Sensing. SIAM J. Imaging Sci. 5(4): 1185-1212 (2012) - [j14]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications. IEEE Signal Process. Lett. 19(1): 8-11 (2012) - [j13]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 11(10): 3598-3606 (2012) - [c35]Angelos K. Marnerides, Simon Malinowski, Ricardo Morla, Miguel R. D. Rodrigues, Hyong S. Kim:
Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy. GLOBECOM 2012: 2779-2784 - [c34]William R. Carson, Miguel R. D. Rodrigues, Minhua Chen, Lawrence Carin, A. Robert Calderbank:
How to focus the discriminative power of a dictionary. ICASSP 2012: 1365-1368 - [c33]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
On the design of optimized projections for sensing sparse signals in overcomplete dictionaries. ICASSP 2012: 3457-3460 - [c32]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks. ICC 2012: 627-631 - [c31]Munnujahan Ara, Hugo Reboredo, Samah A. M. Ghanem, Miguel R. D. Rodrigues:
A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer. ICCS 2012: 60-64 - [c30]Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank:
Communications Inspired Linear Discriminant Analysis. ICML 2012 - [c29]Miguel R. D. Rodrigues:
Characterization of the constrained capacity of multiple-antenna fading coherent channels driven by arbitrary inputs. ISIT 2012: 2176-2180 - [c28]Hugo Reboredo, Miguel R. D. Rodrigues, João M. F. Xavier:
Filter design with secrecy constraints: Zero-forcing constraint at the legitimate receiver. SPAWC 2012: 359-363 - [c27]Ke Zhang, Miguel R. D. Rodrigues, Mohammed Zaki Ahmed, Martin Tomlinson, Francisco Cercas:
Orthogonal Signalling in the Gaussian Wiretap Channel in the Wideband Regime. VTC Spring 2012: 1-5 - [i8]William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
Communications-Inspired Projection Design with Application to Compressive Sensing. CoRR abs/1206.1973 (2012) - [i7]Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues:
Coherent Fading Channels Driven by Arbitrary Inputs: Asymptotic Characterization of the Constrained Capacity and Related Information- and Estimation-Theoretic Quantities. CoRR abs/1210.4505 (2012) - 2011
- [j12]William R. Carson, Miguel R. D. Rodrigues, Ian J. Wassell:
Characterization of Demapper EXIT Functions with BEC a priori Information with Applications to BICM-ID. IEEE Trans. Commun. 59(11): 3080-3089 (2011) - [j11]Vinay Uday Prabhu, Miguel R. D. Rodrigues:
On Wireless Channels With varepsilon-Outage Secrecy Capacity. IEEE Trans. Inf. Forensics Secur. 6(3-1): 853-860 (2011) - [c26]Hugo Reboredo, Miguel R. D. Rodrigues, João M. F. Xavier:
Design of filters for reliable and secure communications conditional mean estimation at the eavesdropper. EUROCON 2011: 1-4 - [c25]Sreechakra Goparaju, A. Robert Calderbank, William R. Carson, Miguel R. D. Rodrigues, Fernando Pérez-Cruz:
When to add another dimension when communicating over MIMO channels. ICASSP 2011: 3100-3103 - [c24]Hugo Reboredo, Vinay Uday Prabhu, Miguel R. D. Rodrigues, João M. F. Xavier:
Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters. ICASSP 2011: 3440-3443 - [c23]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
Penalized L1 minimization for reconstruction of time-varying sparse signals. ICASSP 2011: 3988-3991 - [c22]Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell:
Distributed Compressive Sensing Reconstruction via Common Support Discovery. ICC 2011: 1-5 - [c21]Miguel R. D. Rodrigues:
On the constrained capacity of multi-antenna fading coherent channels with discrete inputs. ISIT 2011: 2612-2616 - [c20]Hugo Reboredo, Munnujahan Ara, Miguel R. D. Rodrigues, João M. F. Xavier:
Filter Design with Secrecy Constraints: The Degraded Multiple-Input Multiple-Output Gaussian Wiretap Channel. VTC Spring 2011: 1-5 - 2010
- [j10]Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh:
A Fast Constrained Sphere Decoder for Ill Conditioned Communication Systems. IEEE Commun. Lett. 14(11): 999-1001 (2010) - [j9]Ioannis Chatzigeorgiou, Andreas Demosthenous, Miguel R. D. Rodrigues, Ian J. Wassell:
Performance-complexity tradeoff of convolutional codes for broadband fixed wireless access systems. IET Commun. 4(4): 419-427 (2010) - [j8]Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú:
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation. IEEE Trans. Inf. Theory 56(3): 1070-1084 (2010) - [c19]Vinay Uday Prabhu, Miguel R. D. Rodrigues:
On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity. GLOBECOM 2010: 1-6 - [c18]William R. Carson, Miguel R. D. Rodrigues, Ian J. Wassell:
Modelling the decoder and demapper EXIT chart curves in BICM-ID systems: BEC approximations. ISIT 2010: 2243-2247 - [c17]Arsenia Chorti, Ioannis Kanaras, Miguel R. D. Rodrigues, Izzat Darwazeh:
Joint channel equalization and detection of Spectrally Efficient FDM signals. PIMRC 2010: 177-182
2000 – 2009
- 2009
- [j7]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
Analysis and design of punctured rate-1/2 turbo codes exhibiting low error floors. IEEE J. Sel. Areas Commun. 27(6): 944-953 (2009) - [j6]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
The augmented state diagram and its application to convolutional and turbo codes. IEEE Trans. Commun. 57(7): 1948-1958 (2009) - [c16]Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh:
Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity. ICC 2009: 1-6 - [c15]Miguel R. D. Rodrigues, Gil Ramos:
On multiple-input multiple-output Gaussian channels with arbitrary inputs subject to jamming. ISIT 2009: 2512-2516 - [c14]Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh:
Investigation of a Semidefinite Programming detection for a spectrally efficient FDM system. PIMRC 2009: 2827-2832 - 2008
- [j5]Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco:
Performance analysis of turbo codes in quasi-static fading channels. IET Commun. 2(3): 449-461 (2008) - [j4]Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin:
Wireless Information-Theoretic Security. IEEE Trans. Inf. Theory 54(6): 2515-2534 (2008) - [c13]Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh:
A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal. BROADNETS 2008: 421-425 - [c12]Miguel R. D. Rodrigues, Pedro D. M. Almeida:
Filter Design with Secrecy Constraints: The Degraded Parallel Gaussian Wiretap Channel. GLOBECOM 2008: 3468-3472 - [c11]Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú:
Optimal Precoding for Digital Subscriber Lines. ICC 2008: 1200-1204 - [c10]Miguel R. D. Rodrigues, Fernando Pérez-Cruz, Sergio Verdú:
Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs. ITW 2008: 445-449 - 2007
- [j3]Jaime Adeane, Miguel R. D. Rodrigues, Ian J. Wassell:
Lattice-reduction-aided detection for MIMO-OFDM-CDM communication systems. IET Commun. 1(3): 526-531 (2007) - [j2]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
Comparison of Convolutional and Turbo Coding for Broadband FWA Systems. IEEE Trans. Broadcast. 53(2): 494-503 (2007) - [c9]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes. CISS 2007: 474-479 - [c8]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes. ISIT 2007: 656-660 - [c7]William R. Carson, Ioannis Chatzigeorgiou, Ian J. Wassell, Miguel R. D. Rodrigues, Rolando A. Carrasco:
On the Performance of Iterative Demapping and Decoding Techniques over Quasi-Static Fading Channels. PIMRC 2007: 1-5 - [i6]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes. CoRR abs/0704.0361 (2007) - [i5]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
Can Punctured Rate-1/2 Turbo Codes Achieve a Lower Error Floor than their Rate-1/3 Parent Codes? CoRR abs/cs/0701065 (2007) - [i4]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes. CoRR abs/cs/0702104 (2007) - 2006
- [j1]Miguel R. D. Rodrigues, Ian J. Wassell:
IMD reduction with SLM and PTS to improve the error-probability performance of nonlinearly distorted OFDM signals. IEEE Trans. Veh. Technol. 55(2): 537-548 (2006) - [c6]Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco:
A Novel Technique To Evaluate the Transfer Function of Punctured Turbo Codes. ICC 2006: 1166-1171 - [c5]João Barros, Miguel R. D. Rodrigues:
Secrecy Capacity of Wireless Channels. ISIT 2006: 356-360 - [i3]Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin:
Wireless Information-Theoretic Security - Part I: Theoretical Aspects. CoRR abs/cs/0611120 (2006) - [i2]Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin:
Wireless Information-Theoretic Security - Part II: Practical Implementation. CoRR abs/cs/0611121 (2006) - 2005
- [c4]Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco:
On the performance of turbo codes in quasi-static fading channels. ISIT 2005: 622-626 - [i1]Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco:
On the Performance of Turbo Codes in Quasi-Static Fading Channels. CoRR abs/cs/0508057 (2005) - 2004
- [c3]Miguel R. D. Rodrigues, Ian J. Wassell:
SLM and PTS based on an IMD reduction strategy to improve the error probability performance of non-linearly distorted OFDM signals. ICC 2004: 857-861 - 2002
- [c2]Nishita Hathi, Miguel Rodrigues, Izzat Darwazeh, John J. O'Reilly:
Analysis of the influence of Walsh-Hadamard code allocation strategies on the performance of multi-carrier CDMA systems in the presence of HPA non-linearities. PIMRC 2002: 1305-1309 - [c1]Nishita Hathi, Miguel R. D. Rodrigues, Izzat Darwazeh, John J. O'Reilly:
Performance assessment of MC-CDMA and MC-DS-CDMA in the presence of high power amplifier non-linearities. VTC Spring 2002: 1467-1471
Coauthor Index
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