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ORCIDLjubisa Stankovic
Ljubiša Stanković
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- unicode name: Ljubiša Stanković
- affiliation: University of Montenegro, Department of Electrical Engineering
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2020 – today
- 2025
[j135]Xiumei Li, Zhijie Zhang, Huang Bai, Ljubisa Stankovic, Junpeng Hao, Junmei Sun:
PIPO-Net: A Penalty-based Independent Parameters Optimization deep unfolding Network. Signal Process. 229: 109796 (2025)- 2024
- [j134]Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
:
The Schur decomposition of discrete Sine and Cosine transformations of type IV. Digit. Signal Process. 144: 104260 (2024) - [j133]Fatemeh Zarei, Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic, Milos Brajovic, Ljubisa Stankovic:
A robust eigenbasis generation system for the discrete Fourier transform. Digit. Signal Process. 155: 104733 (2024) - [j132]Mingzhe Zhu, Xuran Hu, Zhenpeng Feng, Ljubisa Stankovic:
Unveiling SAR target recognition networks: Adaptive Perturbation Interpretation for enhanced understanding. Neurocomputing 600: 128137 (2024) - [j131]Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic:
Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification. Neural Networks 178: 106473 (2024) - [j130]Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic:
Manifold-based Shapley explanations for high dimensional correlated features. Neural Networks 180: 106634 (2024) - [j129]Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Ljubisa Stankovic:
Eigenvalues of symmetric non-normalized discrete trigonometric transforms. Signal Process. 218: 109379 (2024) - [j128]Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic:
Reperceive Global Vision of Transformer for Remote Sensing Images Weakly Supervised Object Localization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16902-16916 (2024) - [j127]Harry J. Davies, Ghena Hammour, Marek Zylinski, Amir Nassibi, Ljubisa Stankovic, Danilo P. Mandic:
The Deep-Match Framework: R-Peak Detection in Ear-ECG. IEEE Trans. Biomed. Eng. 71(7): 2014-2021 (2024) - [j126]Isidora Stankovic, Milos Brajovic, Cornel Ioana, Milos Dakovic, Danilo P. Mandic, Ljubisa Stankovic:
Matched Filtering on Directed Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5857-5861 (2024) - [c71]Xuran Hu, Mingzhe Zhu, Yuanjing Liu, Zhenpeng Feng, Ljubisa Stankovic:
Manifold-Based Shapley for SAR Recognization Network Explanation. IGARSS 2024: 6920-6924 - [c70]Xuran Hu, Ziqiang Xu, Zhihan Chen, Zhenpeng Feng, Mingzhe Zhu, Ljubisa Stankovic:
SAR Despeckling Via Regional Denoising Diffusion Probabilistic Model. IGARSS 2024: 7226-7230 - [c69]Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. IJCNN 2024: 1-8 - [i34]Xuran Hu, Ziqiang Xu, Zhihan Chen, Zhengpeng Feng, Mingzhe Zhu, Ljubisa Stankovic:
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model. CoRR abs/2401.03122 (2024) - [i33]Xuran Hu, Mingzhe Zhu, Yuanjing Liu, Zhenpeng Feng, Ljubisa Stankovic:
Manifold-based Shapley for SAR Recognization Network Explanation. CoRR abs/2401.03128 (2024) - [i32]Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. CoRR abs/2401.16729 (2024) - [i31]Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic, Ljubisa Stankovic:
Graph Fourier Transform Enhancement through Envelope Extensions. CoRR abs/2407.19934 (2024) - [i30]Xuran Hu, Mingzhe Zhu, Ziqiang Xu, Zhenpeng Feng, Ljubisa Stankovic:
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation. CoRR abs/2408.01553 (2024) - [i29]Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Milos Dakovic, Ljubisa Stankovic:
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks. CoRR abs/2408.13397 (2024) - 2023
- [j125]Zhenpeng Feng, Xiyang Cui, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic:
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network. Neurocomputing 533: 104-115 (2023) - [j124]Bruno Scalzo, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A class of doubly stochastic shift operators for random graph signals and their boundedness. Neural Networks 158: 83-88 (2023) - [j123]Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Mingzhe Zhu, Ljubisa Stankovic:
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition. Neural Networks 165: 982-986 (2023) - [j122]Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Xianda Zhou, Mingzhe Zhu, Xiyang Cui, Ljubisa Stankovic:
Interpretation of Latent Codes in InfoGAN with SAR Images. Remote. Sens. 15(5): 1254 (2023) - [j121]Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]. IEEE Signal Process. Mag. 40(2): 155-165 (2023) - [j120]Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3614-3628 (2023) - [c68]Arie N. Arya, Yao Lei Xu, Ljubisa Stankovic, Danilo P. Mandic:
Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator. ICASSP 2023: 1-5 - [i28]Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic, Danilo P. Mandic:
Fair and skill-diverse student group formation via constrained k-way graph partitioning. CoRR abs/2301.09984 (2023) - [i27]Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic:
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification. CoRR abs/2302.01642 (2023) - [i26]Ljubisa Stankovic, Milos Dakovic, Ali Bagheri Bardi, Milos Brajovic, Isidora Stankovic:
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding. CoRR abs/2311.01073 (2023) - 2022
- [j119]Huang Bai, Ljubisa Stankovic, Xiumei Li:
Construction of unit norm tight frames inspired by the Paulsen problem. Digit. Signal Process. 127: 103590 (2022) - [j118]Isidora Stankovic, Milos Brajovic, Jonatan Lerga, Milos Dakovic, Ljubisa Stankovic:
Image denoising using RANSAC and compressive sensing. Multim. Tools Appl. 81(30): 44311-44333 (2022) - [j117]Ljubisa Stankovic:
On the sparsity bound for the existence of a unique solution in compressive sensing by the Gershgorin theorem. Signal Process. 190: 108316 (2022) - [j116]Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic, Linlin Ding, Jingyuan Fan, Xianda Zhou:
A probe-feature for specific emitter identification using axiom-based grad-CAM. Signal Process. 201: 108685 (2022) - [c67]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - [c66]Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic:
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. ICASSP 2022: 5468-5472 - [i25]Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic:
Analytical Interpretation of Latent Codes in InfoGAN with SAR Images. CoRR abs/2205.13294 (2022) - [i24]Zhenpeng Feng, Xiyang Cui, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic:
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network. CoRR abs/2209.09104 (2022) - [i23]Shengxi Li, Xinyi Zhao, Ljubisa Stankovic, Danilo P. Mandic:
Demystifying CNNs for Images by Matched Filters. CoRR abs/2210.08521 (2022) - 2021
- [j115]Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic:
RANSAC-Based Signal Denoising Using Compressive Sensing. Circuits Syst. Signal Process. 40(8): 3907-3928 (2021) - [j114]Alen Salkanovic, Sandi Ljubic, Ljubisa Stankovic, Jonatan Lerga:
Analysis of Cryptography Algorithms Implemented in Android Mobile Application. Inf. Technol. Control. 50(4): 786-807 (2021) - [j113]Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Cornel Ioana, Milos Dakovic:
Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals. IEEE Geosci. Remote. Sens. Lett. 18(1): 28-32 (2021) - [j112]Milos Brajovic, Isidora Stankovic, Milos Dakovic, Ljubisa Stankovic:
The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples. Multim. Tools Appl. 80(4): 6221-6234 (2021) - [j111]Zhenpeng Feng, Mingzhe Zhu, Ljubisa Stankovic, Hongbing Ji:
Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation. Remote. Sens. 13(9): 1772 (2021) - [j110]Zhenpeng Feng, Hongbing Ji, Ljubisa Stankovic, Jingyuan Fan, Mingzhe Zhu:
SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition. Remote. Sens. 13(20): 4139 (2021) - [j109]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28: 1110-1114 (2021) - [c65]Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic:
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP 2021: 5155-5159 - [i22]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. CoRR abs/2103.06804 (2021) - [i21]Ljubisa Stankovic:
On the Sparsity Bound for the Existence of a Unique Solution in Compressive Sensing by the Gershgorin Theorem. CoRR abs/2105.13198 (2021) - [i20]Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach. CoRR abs/2108.10751 (2021) - [i19]Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial. CoRR abs/2108.11663 (2021) - 2020
- [j108]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Quantization in Compressive Sensing: A Signal Processing Approach. IEEE Access 8: 50611-50625 (2020) - [j107]Milos Brajovic, Ljubisa Stankovic, Milos Dakovic:
Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm. Digit. Signal Process. 102: 102738 (2020) - [j106]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107: 102802 (2020) - [j105]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. Found. Trends Mach. Learn. 13(1): 1-157 (2020) - [j104]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part II: Signals on Graphs. Found. Trends Mach. Learn. 13(2-3): 158-331 (2020) - [j103]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. Found. Trends Mach. Learn. 13(4): 332-530 (2020) - [j102]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020) - [j101]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Bit-depth quantization and reconstruction error in digital images. Signal Image Video Process. 14(8): 1545-1553 (2020) - [j100]Ljubisa Stankovic:
The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved. IEEE Signal Process. Lett. 27: 1030-1034 (2020) - [j99]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37(1): 152-162 (2020) - [c64]Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic, Milos Brajovic, Bruno Scalzo Dees, Anthony G. Constantinides:
A Low-Dimensionality Method for Data-Driven Graph Learning. ICASSP 2020: 5340-5344 - [c63]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. ICASSP 2020: 8454-8458 - [c62]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic, Cornel Ioana:
Quantization Effect in Nonuniform Nonsparse Signal Reconstruction. MECO 2020: 1-4 - [i18]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. CoRR abs/2001.00426 (2020) - [i17]Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic:
RANSAC-Based Signal Denoising Using Compressive Sensing. CoRR abs/2003.12289 (2020) - [i16]Ljubisa Stankovic:
The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved. CoRR abs/2005.08070 (2020)
2010 – 2019
- 2019
- [j98]Ljubisa Stankovic, Ervin Sejdic, Srdjan Stankovic, Milos Dakovic, Irena Orovic:
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing. Circuits Syst. Signal Process. 38(3): 1206-1263 (2019) - [j97]Ljubisa Stankovic, Milos Dakovic:
Compressive Sensing Inspired Multivariate Median. Circuits Syst. Signal Process. 38(5): 2369-2379 (2019) - [j96]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilia Kisil, Ervin Sejdic, Anthony G. Constantinides:
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]. IEEE Signal Process. Mag. 36(6): 133-145 (2019) - [c61]Isidora Stankovic, Cornel Ioana, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic:
Time-Varying Cross-Range in Wideband Sonar Imaging. ISPA 2019: 318-323 - [c60]Milos Brajovic, Isidora Stankovic, Ljubisa Stankovic, Milos Dakovic:
Decomposition of Two-Component Multivariate Signals with Overlapped Domains of Support. ISPA 2019: 324-328 - [i15]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. CoRR abs/1903.11136 (2019) - [i14]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. CoRR abs/1904.00403 (2019) - [i13]Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Quantization in Compressive Sensing: A Signal Processing Approach. CoRR abs/1907.01078 (2019) - [i12]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo Dees, Tony Constantinides:
Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering. CoRR abs/1907.03467 (2019) - [i11]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. CoRR abs/1907.03471 (2019) - [i10]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A Unifying Analysis of Shift Operators on a Graph. CoRR abs/1908.01596 (2019) - [i9]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
Unitary Shift Operators on a Graph. CoRR abs/1909.05767 (2019) - [i8]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides:
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs. CoRR abs/1909.10325 (2019) - [i7]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. CoRR abs/1910.05561 (2019) - 2018
- [j95]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic:
Time-frequency decomposition of multivariate multicomponent signals. Signal Process. 142: 468-479 (2018) - [j94]Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic:
Vertex-Frequency Energy Distributions. IEEE Signal Process. Lett. 25(3): 358-362 (2018) - [j93]Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic:
Reduced Interference Vertex-Frequency Distributions. IEEE Signal Process. Lett. 25(9): 1393-1397 (2018) - [j92]Ljubisa Stankovic, Milos Brajovic:
Analysis of the Reconstruction of Sparse Signals in the DCT Domain Applied to Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 26(7): 1216-1231 (2018) - [c59]Milos Brajovic, Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic:
Additive noise influence on the bivariate two-component signal decomposition. MECO 2018: 1-4 - 2017
- [j91]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Reconstruction of Sparse Signals in Impulsive Disturbance Environments. Circuits Syst. Signal Process. 36(2): 767-794 (2017) - [j90]Ljubisa Stankovic, Milos Dakovic, Isidora Stankovic, Stefan Vujovic:
On the Errors in Randomly Sampled Nonsparse Signals Reconstructed With a Sparsity Assumption. IEEE Geosci. Remote. Sens. Lett. 14(12): 2453-2456 (2017) - [j89]Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic:
Polynomial Fourier domain as a domain of signal sparsity. Signal Process. 130: 243-253 (2017) - [j88]Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic:
Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]. IEEE Signal Process. Mag. 34(4): 176-182 (2017) - [c58]Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac, Isidora Stankovic:
On the fixed-point rounding in the DFT. EUROCON 2017: 261-264 - [c57]Srdjan Stankovic, Stefan Vujovic, Irena Orovic, Milos Dakovic, Ljubisa Stankovic:
Combination of gradient based and single iteration reconstruction algorithms for sparse signals. EUROCON 2017: 292-296 - [c56]Milos Dakovic, Ljubisa Stankovic, Ervin Sejdic:
Windowing methods for graph signal localization. DSP 2017: 1-5 - [c55]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
Two-component bivariate signal decomposition based on time-frequency analysis. DSP 2017: 1-5 - [c54]Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac, Ervin Sejdic, Tomislav B. Sekara:
A resistive circuits analysis using graph spectral decomposition. MECO 2017: 1-4 - [c53]Milos Dakovic, Isidora Stankovic, Milos Brajovic, Ljubisa Stankovic:
Sparse signal reconstruction based on random search procedure. MIPRO 2017: 482-485 - [i6]Ljubisa Stankovic, Milos Dakovic, Srdjan Stankovic, Irena Orovic:
Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods. CoRR abs/1706.05201 (2017) - 2016
- [j87]Ljubisa Stankovic:
On the STFT Inversion Redundancy. IEEE Trans. Circuits Syst. II Express Briefs 63-II(3): 284-288 (2016) - [c52]Stefan Vujovic, Isidora Stankovic, Milos Dakovic, Ljubisa Stankovic:
Comparison of a gradient-based and LASSO (ISTA) algorithm for sparse signal reconstruction. MECO 2016: 377-380 - [c51]Milos Brajovic, Milos Dakovic, Ljubisa Stankovic:
Convexity of the ℓ1-norm based sparsity measure with respect to the missing samples as variables. MECO 2016: 393-396 - 2015
- [j86]Alireza Ahrabian, David Looney, Ljubisa Stankovic, Danilo P. Mandic:
Synchrosqueezing-based time-frequency analysis of multivariate data. Signal Process. 106: 331-341 (2015) - [j85]Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, Vesna Popovic-Bugarin:
Inverse radon transform-based micro-doppler analysis from a reduced set of observations. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1155-1169 (2015) - [j84]Ljubisa Stankovic:
ISAR image analysis and recovery with unavailable or heavily corrupted data. IEEE Trans. Aerosp. Electron. Syst. 51(3): 2093-2106 (2015) - [i5]Ljubisa Stankovic, Isidora Stankovic:
Reconstruction of Sparse and Nonsparse Signals from a Reduced Set of Samples. CoRR abs/1512.01812 (2015) - 2014
- [j83]Ljubisa Stankovic, Igor Djurovic, Srdjan Stankovic, Marko Simeunovic, Slobodan Djukanovic, Milos Dakovic:
Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms. Digit. Signal Process. 35: 1-13 (2014) - [j82]Srdjan Stankovic, Ljubisa Stankovic, Irena Orovic:
Relationship between the robust statistics theory and sparse compressive sensed signals reconstruction. IET Signal Process. 8(3): 223-229 (2014) - [j81]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Adaptive variable step algorithm for missing samples recovery in sparse signals. IET Signal Process. 8(3): 246-256 (2014) - [j80]Igor Djurovic, Ljubisa Stankovic:
Quasi-maximum-likelihood estimator of polynomial phase signals. IET Signal Process. 8(4): 347-359 (2014) - [j79]Ljubisa Stankovic, Srdjan Stankovic, Moeness G. Amin:
Missing samples analysis in signals for applications to L-estimation and compressive sensing. Signal Process. 94: 401-408 (2014) - [j78]Igor Djurovic, Ljubisa Stankovic:
XWD-algorithm for the instantaneous frequency estimation revisited: Statistical analysis. Signal Process. 94: 642-649 (2014) - [j77]Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic:
An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment. Signal Process. 104: 43-50 (2014) - [j76]Igor Djurovic, Ljubisa Stankovic, Marko Simeunovic:
Robust time-frequency representation based on the signal normalization and concentration measures. Signal Process. 104: 424-431 (2014) - [j75]Ljubisa Stankovic, Srdjan Stankovic, Milos Dakovic:
From the STFT to the Wigner Distribution [Lecture Notes]. IEEE Signal Process. Mag. 31(3): 163-174 (2014) - [i4]Ljubisa Stankovic:
On the ISAR Image Analysis and Recovery with Unavailable or Heavily Corrupted Data. CoRR abs/1406.0173 (2014) - [i3]Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic:
Compressive Sensing of Polynomial Phase Signals. CoRR abs/1411.3651 (2014) - [i2]Ljubisa Stankovic, Milos Dakovic:
Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm. CoRR abs/1412.0624 (2014) - 2013
- [j74]Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan:
A real-time time-frequency based instantaneous frequency estimator. Signal Process. 93(5): 1392-1397 (2013) - [j73]Ljubisa Stankovic, Vesna Popovic-Bugarin, Filip Radenovic:
Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis. Signal Process. 93(7): 1921-1932 (2013) - [j72]Ljubisa Stankovic, Srdjan Stankovic, Irena Orovic, Moeness G. Amin:
Robust Time-Frequency Analysis Based on the L-Estimation and Compressive Sensing. IEEE Signal Process. Lett. 20(5): 499-502 (2013) - [j71]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic, Vesna Popovic-Bugarin:
Micro-Doppler Removal in the Radar Imaging Analysis. IEEE Trans. Aerosp. Electron. Syst. 49(2): 1234-1250 (2013) - [j70]Ljubisa Stankovic, Irena Orovic, Srdjan Stankovic, Moeness G. Amin:
Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency. IEEE Trans. Signal Process. 61(18): 4562-4572 (2013) - [c50]Milos Dakovic, Ljubisa Stankovic:
Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform. ISPA 2013: 302-307 - [c49]Vesna Popovic-Bugarin, Filip Radenovic, Ljubisa Stankovic:
Analytical rigid body reconstruction after micro-Doppler removal. ISPA 2013: 314-319 - [c48]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Concentration measures with an adaptive algorithm for processing sparse signals. ISPA 2013: 425-430 - [i1]Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic:
Adaptive Variable Step Algorithm for Missing Samples Recovery in Sparse Signals. CoRR abs/1309.5749 (2013) - 2012
- [j69]Igor Djurovic, Ljubisa Stankovic:
STFT-based estimator of polynomial phase signals. Signal Process. 92(11): 2769-2774 (2012) - [c47]Borisa Bjelica, Milos Dakovic, Ljubisa Stankovic, Thayananthan Thayaparan:
Complex Empirical Decomposition method in radar signal processing. MECO 2012: 88-91 - 2011
- [j68]Ervin Sejdic, Igor Djurovic, Ljubisa Stankovic:
Fractional Fourier transform as a signal processing tool: An overview of recent developments. Signal Process. 91(6): 1351-1369 (2011) - [j67]Slobodan Djukanovic, Vesna Popovic, Milos Dakovic, Ljubisa Stankovic:
A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems. Signal Process. 91(6): 1425-1431 (2011) - 2010
- [j66]Igor Djurovic, Ljubisa Stankovic, Markus Rupp, Ling Shao:
Robust Processing of Nonstationary Signals. EURASIP J. Adv. Signal Process. 2010 (2010) - [j65]Vesna Popovic, Igor Djurovic, Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Autofocusing of SAR images based on parameters estimated from the PHAF. Signal Process. 90(5): 1382-1391 (2010)
2000 – 2009
- 2009
- [j64]Igor Djurovic, Cornel Ioana, Ljubisa Stankovic, Pu Wang:
Adaptive Algorithm for Chirp-Rate Estimation. EURASIP J. Adv. Signal Process. 2009 (2009) - [j63]Slobodan Djukanovic, Milos Dakovic, Ljubisa Stankovic:
Bit error probability approximation for short-time Fourier transform based nonstationary interference excision in DS-SS systems. Signal Process. 89(11): 2178-2184 (2009) - 2008
- [j62]Ljubisa Stankovic, Thayananthan Thayaparan, Vesna Popovic, Igor Djurovic, Milos Dakovic:
Adaptive S-Method for SAR/ISAR Imaging. EURASIP J. Adv. Signal Process. 2008 (2008) - [j61]Thayananthan Thayaparan, Ljubisa Stankovic, Igor Djurovic:
Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments. J. Frankl. Inst. 345(6): 700-722 (2008) - [j60]Ljubisa Stankovic, Milos Dakovic, Jin Jiang, Ervin Sejdic:
Instantaneous Frequency Estimation Using the -Transform. IEEE Signal Process. Lett. 15: 309-312 (2008) - [j59]Slobodan Djukanovic, Milos Dakovic, Ljubisa Stankovic:
Local Polynomial Fourier Transform Receiver for Nonstationary Interference Excision in DSSS Communications. IEEE Trans. Signal Process. 56(4): 1627-1636 (2008) - [j58]Ervin Sejdic, Igor Djurovic, Ljubisa Stankovic:
Quantitative Performance Analysis of Scalogram as Instantaneous Frequency Estimator. IEEE Trans. Signal Process. 56(8-2): 3837-3845 (2008) - [c46]Bertrand Gottin, Cornel Ioana, Srdjan Stankovic, Ljubisa Stankovic, Jocelyn Chanussot:
On the concept of time-frequency distributions based on complex-lag moments. EUSIPCO 2008: 1-5 - [c45]Thayananthan Thayaparan, Ljubisa Stankovic, Milos Dakovic:
S-Method-Based Approach for Image Formation, Motion Compensation, and Image Enhancement of Moving Targerts in ISAR and SAR. IGARSS (2) 2008: 29-32 - 2007
- [j57]Cédric Cornu, Srdjan Stankovic, Cornel Ioana, André Quinquis, Ljubisa Stankovic:
Generalized Representation of Phase Derivatives for Regular Signals. IEEE Trans. Signal Process. 55(10): 4831-4838 (2007) - [c44]Ervin Sejdic, Predrag Rakovic, Milos Dakovic, Ljubisa Stankovic:
An algorithm for decomposition of heart sounds based on S-method. EUSIPCO 2007: 2484-2488 - [c43]Vladimir V. Lukin, Alexey A. Roenko, Igor Djurovic, Ljubisa Stankovic:
Robust DFT based on adaptive censored estimate for FM signal processing in non-Gaussian noise environment. ISSPA 2007: 1-4 - 2006
- [j56]Igor Djurovic, Thayananthan Thayaparan, Ljubisa Stankovic:
Adaptive Local Polynomial Fourier Transform in ISAR. EURASIP J. Adv. Signal Process. 2006 (2006) - [j55]Veselin N. Ivanovic, Radovan Stojanovic, Ljubisa Stankovic:
Multiple-Clock-Cycle Architecture for the VLSI Design of a System for Time-Frequency Analysis. EURASIP J. Adv. Signal Process. 2006 (2006) - [j54]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter. IEEE Trans. Signal Process. 54(11): 4332-4342 (2006) - [c42]T. Thayaparan, Ljubisa Stankovic, Milos Dakovic:
Focusing Distorted ISAR Images Using the S-method. CCECE 2006: 56-59 - [c41]T. Thayaparan, Ljubisa Stankovic, Milos Dakovic:
Decomposition of Time-varying Multicomponent Signals using Time-Frequency Based Method. CCECE 2006: 60-63 - [c40]Veselin N. Ivanovic, Radovan Stojanovic, Srdjan Jovanovski, Ljubisa Stankovic:
An architecture for real-time design of the system for multidimensional signal analysis. EUSIPCO 2006: 1-5 - [c39]Ljubisa Stankovic, T. Thayaparan, Milos Dakovic, Vesna Popovic:
S-method in radar imaging. EUSIPCO 2006: 1-5 - [c38]Cornel Ioana, Arnaud Jarrot, André Quinquis, Srdjan Stankovic, Ljubisa Stankovic:
Analysis of Time-Frequency Transient Components Using Phase Chirping Operator. ICASSP (3) 2006: 173-176 - [c37]Vesna Popovic, Milos Dakovic, Thayananthan Thayaparan, Ljubisa Stankovic:
Sar Images Improvements by Using The S-Method. ICASSP (3) 2006: 177-180 - 2005
- [j53]Igor Djurovic, Ljubisa Stankovic, Braham Barkat:
Robust Time-Frequency Distributions based on the robust Short Time Fourier Transform. Ann. des Télécommunications 60(5-6): 681-697 (2005) - [j52]Igor Djurovic, Ljubisa Stankovic, Johann F. Böhme:
Estimation of FM signal parameters in impulse noise environments. Signal Process. 85(4): 821-835 (2005) - [j51]Ljubisa Stankovic, Slobodan Djukanovic:
Order adaptive local polynomial FT based interference rejection in spread spectrum communication systems. IEEE Trans. Instrum. Meas. 54(6): 2156-2162 (2005) - [c36]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Algorithm for signal decomposition by using the S-method. EUSIPCO 2005: 1-4 - [c35]Ljubisa Stankovic, Thayananthan Thayaparan, Milos Dakovic:
Improvement of the fast moving targets presentation in ISAR by using the S-method. EUSIPCO 2005: 1-4 - [c34]Cornel Ioana, Srdjan Stankovic, André Quinquis, Ljubisa Stankovic:
Modelling of signal's time-frequency content using warped complex-time distributions. ICASSP (4) 2005: 477-480 - [c33]Cédric Cornu, Igor Djurovic, Cornel Ioana, André Quinquis, Ljubisa Stankovic:
Time-frequency detection using Gabor filter bank and Viterbi based grouping algorithm. ICASSP (4) 2005: 497-500 - [c32]Igor Djurovic, Ljubisa Stankovic, Vladimir V. Lukin:
Combination of non-linear filters in time and frequency domain. ISSPA 2005: 727-730 - 2004
- [j50]Braham Barkat, Ljubisa Stankovic:
Analysis of polynomial FM signals corrupted by heavy-tailed noise. Signal Process. 84(1): 69-75 (2004) - [j49]Igor Djurovic, Ljubisa Stankovic:
An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment. Signal Process. 84(3): 631-643 (2004) - [j48]Igor Djurovic, Ljubisa Stankovic:
Moments of multidimensional polynomial FT. IEEE Signal Process. Lett. 11(11): 879-882 (2004) - [j47]Igor Djurovic, Ljubisa Stankovic:
Nonparametric algorithm for local frequency estimation of multidimensional signals. IEEE Trans. Image Process. 13(4): 467-474 (2004) - [j46]Ljubisa Stankovic:
Performance analysis of the adaptive algorithm for bias-to-variance tradeoff. IEEE Trans. Signal Process. 52(5): 1228-1234 (2004) - [j45]Igor Djurovic, Ljubisa Stankovic:
Modification of the ICI rule-based IF estimator for high noise environments. IEEE Trans. Signal Process. 52(9): 2655-2661 (2004) - [c31]Ljubisa Stankovic, Igor Djurovic:
Robust time-frequency analysis: Definitions and realizations. EUSIPCO 2004: 1573-1576 - [c30]Veselin N. Ivanovic, Ljubisa Stankovic:
Multiple clock cycle real-time implementation of a system for time-frequency analysis. EUSIPCO 2004: 1633-1636 - [c29]Igor Djurovic, Mark Urlaub, Ljubisa Stankovic, Johann F. Böhme:
Estimation of multicomponent signals by using time-frequency representations with application to knock signal analysis. EUSIPCO 2004: 1785-1788 - [c28]Bozo Krstajic, Darko Ojdanic, Aleksandar Vucinic, Zdravko Uskokovic, Ljubisa Stankovic:
An approach to transform domain variable step-size LMS adaptive filter. EUSIPCO 2004: 1813-1816 - 2003
- [j44]Igor Djurovic, Ljubisa Stankovic:
Adaptive windowed Fourier transform. Signal Process. 83(1): 91-100 (2003) - [j43]Ljubisa Stankovic, Igor Djurovic, Radomir-Mato Lakovic:
Instantaneous frequency estimation by using the Wigner distribution and linear interpolation. Signal Process. 83(3): 483-491 (2003) - [j42]Ljubisa Stankovic, Tatiana Alieva, Martin J. Bastiaans:
Time-frequency signal analysis based on the windowed fractional Fourier transform. Signal Process. 83(11): 2459-2468 (2003) - [j41]Veselin N. Ivanovic, Milos Dakovic, Ljubisa Stankovic:
Performance of quadratic time-frequency distributions as instantaneous frequency estimators. IEEE Trans. Signal Process. 51(1): 77-89 (2003) - [j40]Tatiana Alieva, Martin J. Bastiaans, Ljubisa Stankovic:
Signal reconstruction from two close fractional Fourier power spectra. IEEE Trans. Signal Process. 51(1): 112-123 (2003) - [j39]Igor Djurovic, Ljubisa Stankovic, Johann F. Böhme:
Robust L-estimation based forms of signal transforms and time-frequency representations. IEEE Trans. Signal Process. 51(7): 1753-1761 (2003) - [c27]Ljubisa Stankovic, Igor Djurovic, Akira Ohsumi, Hiroshi Ijima:
Instantaneous frequency estimation by using Wigner distribution and Viterbi algorithm. ICASSP (6) 2003: 121-124 - [c26]Igor Djurovic, Ljubisa Stankovic:
Nonparametric if and DOA estimation. ISSPA (1) 2003: 149-152 - [c25]Igor Djurovic, Ljubisa Stankovic, Akira Ohsumi, Hiroshi Ijima:
Recursive realization of the robust STFT. ISSPA (1) 2003: 157-160 - [c24]Bozo Krstajic, Zdravko Uskokovic, Ljubisa Stankovic:
Adaptive channel equalizer with new VSS LMS algorithm. ISSPA (2) 2003: 567-570 - [c23]Milos Dakovic, Veselin N. Ivanovic, Ljubisa Stankovic:
On the S-method based instantaneous frequency estimation. ISSPA (1) 2003: 605-608 - 2002
- [j38]Srdjan Stankovic, Ljubisa Stankovic, Veselin N. Ivanovic, Radovan Stojanovic:
An architecture for the vlsi design of systems for time-frequency analysis and time-varying filtering. Ann. des Télécommunications 57(9-10): 974-995 (2002) - [j37]Ljubisa Stankovic:
Analysis of noise in time-frequency distributions. IEEE Signal Process. Lett. 9(9): 286-289 (2002) - [j36]Igor Djurovic, Ljubisa Stankovic:
Realization of robust filters in the frequency domain. IEEE Signal Process. Lett. 9(10): 333-335 (2002) - [j35]Martin J. Bastiaans, Tatiana Alieva, Ljubisa Stankovic:
On rotated time-frequency kernels. IEEE Signal Process. Lett. 9(11): 378-381 (2002) - [j34]Ljubisa Stankovic:
Time-frequency distributions with complex argument. IEEE Trans. Signal Process. 50(3): 475-486 (2002) - [c22]Milos Dakovic, Igor Djurovic, Ljubisa Stankovic:
Adaptive local polynomial Fourier transform. EUSIPCO 2002: 1-4 - [c21]Igor Djurovic, Ljubisa Stankovic, Johann F. Böhme:
Myriad filter based form of the DFT. EUSIPCO 2002: 1-4 - [c20]Srdjan Stankovic, Veselin N. Ivanovic, Ljubisa Stankovic:
Hartley transform based architecture for time-frequency analysis and time-varying filtering. EUSIPCO 2002: 1-4 - [c19]Rada Dragovic-Ivanovic, Zoran Mijanovic, Ljubisa Stankovic, Nedjeljko Lekic:
Optimal resistor ratio in the DAC with low precision resistors - statistical approach. ICECS 2002: 409-412 - [c18]Braham Barkat, Ljubisa Stankovic:
Robust PWVD for the analysis of polynomial FM signals in non-Gaussian noise. ICECS 2002: 1007-1010 - [c17]Igor Djurovic, Ljubisa Stankovic, Johann F. Böhme:
Robust two-dimensional DFT. ICECS 2002: 1011-1014 - [c16]Vladimir Katkovnik, Ljubisa Stankovic:
High-resolution data-adaptive time-frequency analysis. ICECS 2002: 1023-1026 - 2001
- [j33]Ljubisa Stankovic:
A measure of some time-frequency distributions concentration. Signal Process. 81(3): 621-631 (2001) - [j32]Igor Djurovic, Vladimir Katkovnik, Ljubisa Stankovic:
Median filter based realizations of the robust time-frequency distributions. Signal Process. 81(8): 1771-1776 (2001) - [j31]Ljubisa Stankovic, Igor Djurovic:
A note on "An overview of aliasing errors in discrete-time formulations of time-frequency representations". IEEE Trans. Signal Process. 49(1): 257-259 (2001) - [j30]Igor Djurovic, Ljubisa Stankovic:
Robust Wigner distribution with application to the instantaneous frequency estimation. IEEE Trans. Signal Process. 49(12): 2985-2993 (2001) - [c15]Igor Djurovic, Vladimir Katkovnik, Ljubisa Stankovic:
Instantaneous frequency estimation based on the robust spectrogram. ICASSP 2001: 3517-3520 - [c14]Vladimir Ivanovic, Milos Dakovic, Igor Djurovic, Ljubisa Stankovic:
Instantaneous frequency estimation by using time-frequency distributions. ICASSP 2001: 3521-3524 - [c13]Igor Djurovic, Srdjan Stankovic, Ljubisa Stankovic, Radovan Stojanovic:
Local frequency estimation based on the Wigner distribution. ICIP (3) 2001: 736-739 - [c12]Vladimir Katkovnik, Igor Djurovic, Ljubisa Stankovic:
Robust time-frequency distributions. ISSPA 2001: 156-157 - [c11]Ljubisa Stankovic, Martin J. Bastiaans:
Noise analysis in Toeplitz and Hankel kernels for estimating time-varying spectra. ISSPA 2001: 335-338 - [c10]Ljubisa Stankovic:
Quadratic and higher order time-frequency analysis based on the short-time Fourier transform. ISSPA 2001: 581-582 - 2000
- [j29]Ljubisa Stankovic:
On the time-frequency analysis based filtering. Ann. des Télécommunications 55(5-6): 216-225 (2000) - [j28]Alex B. Gershman, Ljubisa Stankovic, Vladimir Katkovnik:
Sensor array signal tracking using a data-driven window approach. Signal Process. 80(12): 2507-2515 (2000) - [j27]Igor Djurovic, Ljubisa Stankovic:
Influence of high noise on the instantaneous frequency estimation using quadratic time-frequency distributions. IEEE Signal Process. Lett. 7(11): 317-319 (2000) - [j26]Ljubisa Stankovic, Vladimir Katkovnik:
Instantaneous frequency estimation using higher order L-Wigner distributions with data-driven order and window length. IEEE Trans. Inf. Theory 46(1): 302-311 (2000) - [j25]Ljubisa Stankovic, Srdjan Stankovic, Igor Djurovic:
Space/spatial-frequency analysis based filtering. IEEE Trans. Signal Process. 48(8): 2343-2352 (2000) - [c9]Ljubisa Stankovic, Igor Djurovic, Srdjan Stankovic:
The robust Wigner distribution. ICASSP 2000: 77-80
1990 – 1999
- 1999
- [j24]Igor Djurovic, Ljubisa Stankovic:
Time-frequency representation based on the reassigned S-method. Signal Process. 77(1): 115-120 (1999) - [j23]Ljubisa Stankovic, Johann F. Böhme:
Time-frequency analysis of multiple resonances in combustion engine signals. Signal Process. 79(1): 15-28 (1999) - [j22]Igor Djurovic, Ljubisa Stankovic:
A virtual instrument for time-frequency analysis. IEEE Trans. Instrum. Meas. 48(6): 1086-1092 (1999) - [j21]Ljubisa Stankovic, Vladimir Katkovnik:
The Wigner distribution of noisy signals with adaptive time-frequency varying window. IEEE Trans. Signal Process. 47(4): 1099-1108 (1999) - [c8]Braham Barkat, Boualem Boashash, Ljubisa Stankovic:
Adaptive window in the PWVD for the IF estimation of FM signals in additive Gaussian noise. ICASSP 1999: 1317-1320 - [c7]Bozo Krstajic, Ljubisa Stankovic, Zdravko Uskokovic, Igor Djurovic:
Combined adaptive system for identification of unknown systems with varying parameters in a noisy environment. ICECS 1999: 745-748 - [c6]Ljubisa Stankovic, Vladimir Katkovnik, Igor Djurovic:
Adaptive order and window length higher order time-frequency distributions in the IF estimation. ICECS 1999: 1077-1080 - [c5]Igor Djurovic, Ljubisa Stankovic:
A reassignment based method for time-frequency representation. ICECS 1999: 1357-1360 - 1998
- [j20]Igor Djurovic, Ljubisa Stankovic:
Relationship between the ambiguity function coordinate transformations and the fractional Fourier transform. Ann. des Télécommunications 53(7-8): 316-319 (1998) - [j19]Vladimir Katkovnik, Ljubisa Stankovic:
Periodogram with varying and data-driven window length. Signal Process. 67(3): 345-358 (1998) - [j18]Ljubisa Stankovic:
On the realization of the polynomial Wigner-Ville distribution for multicomponent signals. IEEE Signal Process. Lett. 5(7): 157-159 (1998) - [j17]Ljubisa Stankovic, Vladimir Katkovnik:
Algorithm for the instantaneous frequency estimation using time-frequency distributions with adaptive window width. IEEE Signal Process. Lett. 5(9): 224-227 (1998) - [j16]Veselin N. Ivanovic, Ljubisa Stankovic, Dusan Petranovic:
Finite word-length effects in implementation of distributions for time-frequency signal analysis. IEEE Trans. Signal Process. 46(7): 2035-2040 (1998) - [j15]Vladimir Katkovnik, Ljubisa Stankovic:
Instantaneous frequency estimation using the Wigner distribution with varying and data-driven window length. IEEE Trans. Signal Process. 46(9): 2315-2325 (1998) - [c4]Veselin N. Ivanovic, Ljubisa Stankovic, Zdravko Uskokovic:
Quantization effects in implementation of distributions from the cohen class. EUSIPCO 1998: 1-4 - [c3]Ljubisa Stankovic, Vladimir Katkovnik:
Algorithm for the instantaneous frequency estimation using time-frequency distributions with adaptive window width. EUSIPCO 1998: 1-4 - [c2]Ljubisa Stankovic, Srdjan Stankovic:
Cross-terms free forms of some quadratic and higher order time-frequency representations. EUSIPCO 1998: 1-4 - 1997
- [j14]Ljubisa Stankovic:
Local polynomial Wigner distribution. Signal Process. 59(1): 123-128 (1997) - [j13]Ljubisa Stankovic:
Highly concentrated time-frequency distributions: pseudo quantum signal representation. IEEE Trans. Signal Process. 45(3): 543-551 (1997) - [j12]Ljubisa Stankovic, Veselin N. Ivanovic:
Further results on the minimum variance time-frequency distribution kernels. IEEE Trans. Signal Process. 45(6): 1650-1655 (1997) - [c1]Ljubisa Stankovic, Srdjan Stankovic, Igor Djurovic:
An architecture for realization of the cross-terms free polynomial Wigner-Ville distribution. ICASSP 1997: 2053-2056 - 1996
- [j11]Ljubisa Stankovic:
L-class of time-frequency distributions. IEEE Signal Process. Lett. 3(1): 22-25 (1996) - [j10]Ljubisa Stankovic:
A time-frequency distribution concentrated along the instantaneous frequency. IEEE Signal Process. Lett. 3(3): 89-91 (1996) - [j9]Ljubisa Stankovic, Srdjan Stankovic:
Corrections to "An Analysis of Instantaneous Frequency Representation Using Time-Frequency Distributions-Generalized Wigaer Distribution. IEEE Trans. Signal Process. 44(5): 1292 (1996) - [j8]Ljubisa Stankovic:
Auto-term representation by the reduced interference distributions: a procedure for kernel design. IEEE Trans. Signal Process. 44(6): 1557-1563 (1996) - 1995
- [j7]Ljubisa Stankovic, Srdjan Stankovic:
An analysis of instantaneous frequency representation using time-frequency distributions-generalized Wigner distribution. IEEE Trans. Signal Process. 43(2): 549-552 (1995) - [j6]Ljubisa Stankovic:
A method for improved distribution concentration in the time-frequency analysis of multicomponent signals using the L-Wigner distribution. IEEE Trans. Signal Process. 43(5): 1262-1268 (1995) - [j5]Srdjan Stankovic, Ljubisa Stankovic, Zdravko Uskokovic:
On the local frequency, group shift, and cross-terms in some multidimensional time-frequency distributions: a method for multidimensional time-frequency analysis. IEEE Trans. Signal Process. 43(7): 1719-1724 (1995) - 1994
- [j4]Ljubisa Stankovic:
A multitime definition of the Wigner higher order distribution: L-Wigner distribution. IEEE Signal Process. Lett. 1(7): 106-109 (1994) - [j3]Ljubisa Stankovic:
A method for time-frequency analysis. IEEE Trans. Signal Process. 42(1): 225-229 (1994) - [j2]Ljubisa Stankovic, Srdjan Stankovic:
On the Wigner distribution of discrete-time noisy signals with application to the study of quantization effects. IEEE Trans. Signal Process. 42(7): 1863-1867 (1994) - 1993
- [j1]Ljubisa Stankovic, Srdjan Stankovic:
Wigner distribution of noisy signals. IEEE Trans. Signal Process. 41(2): 956-960 (1993)
Coauthor Index
[j134] [j133] [j131] [j129] [j126] [i31] [i29] [j124] [j123] [j122] [i27] [i26] [j118] [i25] [j115] [j113] [j112] [j109] [i22] [j108] [j107] [j106] [j105] [j104] [j103] [j102] [j101] [j99] [c64] [c62] [i18] [i17] [j98] [j97] [j96] [c61] [c60] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j95] [j94] [j93] [c59] [j91] [j90] [j88] [c58] [c57] [c56] [c55] [c54] [c53] [i6] [c52] [c51] [j85] [j83] [j81] [j75] [i2] [j74] [j71] [c50] [c48] [i1] [c47] [j67] [j65] [j63] [j62] [j60] [j59] [c45] [c44] [j54] [c42] [c41] [c39] [c37] [c36] [c35] [j41] [c23] [c22] [c14]
Bruno Scalzo Dees
aka: Bruno Scalzo
aka: Bruno Scalzo
[j83] [j80] [j78] [j76] [j69] [j68] [j66] [j65] [j64] [j62] [j61] [j58] [c43] [j56] [j53] [j52] [c33] [c32] [j49] [j48] [j47] [j45] [c31] [c29] [j44] [j43] [j39] [c27] [c26] [c25] [j36] [c22] [c21] [c17] [j32] [j31] [j30] [c15] [c14] [c13] [c12] [j27] [j25] [c9] [j24] [j22] [c7] [c6] [c5] [j20] [c1]
T. Thayaparan
aka: Thayananthan Thayaparan
aka: Thayananthan Thayaparan
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