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2020 – today
- 2024
[j34]Christoph F. Mecklenbräuker
, Peter Gerstoft, Esa Ollila, Yongsung Park:
Robust and sparse M-estimation of DOA. Signal Process. 220: 109461 (2024)- [j33]Esa Ollila:
Greedy Capon Beamformer. IEEE Signal Process. Lett. 31: 2775-2779 (2024) - [j32]Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model. IEEE Trans. Signal Inf. Process. over Networks 10: 788-803 (2024) - [c48]Esa Ollila:
Matching Pursuit Covariance Learning. EUSIPCO 2024: 2447-2451 - 2023
- [j31]Esa Ollila, Daniel P. Palomar, Frédéric Pascal:
Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. 30: 1017-1021 (2023) - [j30]Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller:
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c47]Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Nonnegative Structured Kruskal Tensor Regression. CAMSAP 2023: 441-445 - [c46]Aylin Tastan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir:
Sparsity-Aware Block Diagonal Representation for Subspace Clustering. EUSIPCO 2023: 1594-1598 - [c45]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park:
Robust Sparse Bayesian Learning for DOA. EUSIPCO 2023: 1788-1792 - [c44]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Xinjue Wang:
Correlation-Based Graph Smoothness Measures In Graph Signal Processing. EUSIPCO 2023: 1848-1852 - [c43]Pierre Houdouin, Esa Ollila, Frédéric Pascal:
Regularized EM Algorithm. ICASSP 2023: 1-5 - [i13]Pierre Houdouin, Esa Ollila, Frédéric Pascal:
Regularized EM algorithm. CoRR abs/2303.14989 (2023) - 2022
- [j29]Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila:
Multimodal image fusion via coupled feature learning. Signal Process. 200: 108637 (2022) - [j28]Elias Raninen, Esa Ollila:
Bias Adjusted Sign Covariance Matrix. IEEE Signal Process. Lett. 29: 339-343 (2022) - [j27]Elias Raninen, David E. Tyler, Esa Ollila:
Linear Pooling of Sample Covariance Matrices. IEEE Trans. Signal Process. 70: 659-672 (2022) - [j26]Esa Ollila, Arnaud Breloy:
Regularized Tapered Sample Covariance Matrix. IEEE Trans. Signal Process. 70: 2306-2320 (2022) - [c42]Esa Ollila, Hyon-Jung Kim:
Robust tensor regression with applications in imaging. EUSIPCO 2022: 887-891 - [c41]Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Graph Neural Network Sensitivity Under Probabilistic Error Model. EUSIPCO 2022: 2146-2150 - [c40]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila:
DOA M-Estimation Using Sparse Bayesian Learning. ICASSP 2022: 4933-4937 - [i12]Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Graph Neural Network Sensitivity Under Probabilistic Error Model. CoRR abs/2203.07831 (2022) - 2021
- [j25]Michael Muma, Esa Ollila, Frédéric Pascal:
Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. 182: 107892 (2021) - [j24]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Modelling and studying the effect of graph errors in graph signal processing. Signal Process. 189: 108256 (2021) - [j23]Elias Raninen, Esa Ollila, David E. Tyler:
On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions. IEEE Signal Process. Lett. 28: 2092-2096 (2021) - [j22]Esa Ollila, Daniel P. Palomar, Frédéric Pascal:
Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. 69: 256-269 (2021) - [j21]Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila:
Graph Signal Processing Meets Blind Source Separation. IEEE Trans. Signal Process. 69: 2585-2599 (2021) - [j20]Elias Raninen, Esa Ollila:
Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes. IEEE Trans. Signal Process. 69: 5681-5692 (2021) - [c39]Frédéric Pascal, Esa Ollila, Daniel P. Palomar:
Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO 2021: 860-864 - [c38]Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila:
Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. WSA 2021: 1-6 - [i11]Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila:
Coupled Feature Learning for Multimodal Medical Image Fusion. CoRR abs/2102.08641 (2021) - 2020
- [j19]Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov:
Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models. IEEE J. Sel. Top. Signal Process. 14(6): 1244-1254 (2020) - [c37]Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov:
Robust Registration of Multi-modal Medical Images Using Huber's Criterion. ACSSC 2020: 773-777 - [c36]Ammar Mian, Elias Raninen, Esa Ollila:
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. EUSIPCO 2020: 950-954 - [c35]Esa Ollila, Daniel P. Palomar, Frédéric Pascal:
M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP 2020: 5305-5309 - [c34]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Blind Source Separation of Graph Signals. ICASSP 2020: 5645-5649 - [c33]Esa Ollila, Ammar Mian:
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. MLSP 2020: 1-6 - [i10]Muhammad Naveed Tabassum, Esa Ollila:
A Compressive Classification Framework for High-Dimensional Data. CoRR abs/2005.04383 (2020) - [i9]Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila:
Graph Signal Processing Meets Blind Source Separation. CoRR abs/2008.10461 (2020) - [i8]Esa Ollila, Ammar Mian:
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications. CoRR abs/2008.10982 (2020) - [i7]Elias Raninen, Esa Ollila:
Coupled regularized sample covariance matrix estimator for multiple classes. CoRR abs/2011.04315 (2020)
2010 – 2019
- 2019
- [j18]Esa Ollila, Elias Raninen:
Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions. IEEE Trans. Signal Process. 67(10): 2707-2719 (2019) - [c32]Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov:
ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions. CAMSAP 2019: 366-370 - [c31]Arnaud Breloy, Esa Ollila, Frédéric Pascal:
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP 2019: 535-538 - [c30]Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal:
Fusing Eigenvalues. ICASSP 2019: 4968-4972 - [c29]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Robust Least Mean Squares Estimation of Graph Signals. ICASSP 2019: 5416-5420 - [i6]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Modelling Graph Errors: Towards Robust Graph Signal Processing. CoRR abs/1903.08398 (2019) - 2018
- [c28]Muhammad Naveed Tabassum, Esa Ollila:
Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization. EUSIPCO 2018: 1592-1596 - [c27]Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Graph Error Effect in Graph Signal Processing. ICASSP 2018: 4164-4168 - [c26]Muhammad Naveed Tabassum, Esa Ollila:
Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies. ICASSP 2018: 4204-4208 - [c25]Elias Raninen, Esa Ollila:
Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes. ICASSP 2018: 4224-4228 - [i5]Muhammad Naveed Tabassum, Esa Ollila:
Sequential adaptive elastic net approach for single-snapshot source localization. CoRR abs/1805.07575 (2018) - 2017
- [j17]Shahab Basiri, Esa Ollila, Visa Koivunen:
Enhanced bootstrap method for statistical inference in the ICA model. Signal Process. 138: 53-62 (2017) - [j16]Shahab Basiri, Esa Ollila, Visa Koivunen:
Alternative Derivation of FastICA With Novel Power Iteration Algorithm. IEEE Signal Process. Lett. 24(9): 1378-1382 (2017) - [c24]Muhammad Naveed Tabassum, Esa Ollila:
Pathwise least angle regression and a significance test for the elastic net. EUSIPCO 2017: 1309-1313 - [c23]Esa Ollila:
Optimal high-dimensional shrinkage covariance estimation for elliptical distributions. EUSIPCO 2017: 1639-1643 - [c22]Elias Raninen, Esa Ollila:
Scaled and square-root elastic net. ICASSP 2017: 4336-4340 - 2016
- [j15]Shahab Basiri, Esa Ollila, Visa Koivunen:
Robust, Scalable, and Fast Bootstrap Method for Analyzing Large Scale Data. IEEE Trans. Signal Process. 64(4): 1007-1017 (2016) - [c21]Esa Ollila:
Adaptive LASSO based on joint M-estimation of regression and scale. EUSIPCO 2016: 2191-2195 - 2015
- [c20]Esa Ollila:
Nonparametric simultaneous sparse recovery: An application to source localization. EUSIPCO 2015: 509-513 - [c19]Hyon-Jung Kim, Esa Ollila, Visa Koivunen:
New robust LASSO method based on ranks. EUSIPCO 2015: 699-703 - [c18]Aqib Ejaz, Esa Ollila, Visa Koivunen:
Randomized simultaneous orthogonal matching pursuit. EUSIPCO 2015: 704-708 - [i4]Esa Ollila:
Nonparametric Simultaneous Sparse Recovery: an Application to Source Localization. CoRR abs/1502.02441 (2015) - [i3]Shahab Basiri, Esa Ollila, Visa Koivunen:
Robust, scalable and fast bootstrap method for analyzing large scale data. CoRR abs/1504.02382 (2015) - [i2]Esa Ollila:
Multichannel sparse recovery of complex-valued signals using Huber's criterion. CoRR abs/1504.04184 (2015) - 2014
- [j14]Esa Ollila, David E. Tyler:
Regularized M-Estimators of Scatter Matrix. IEEE Trans. Signal Process. 62(22): 6059-6070 (2014) - [c17]Shahab Basiri, Esa Ollila, Visa Koivunen:
Fast and robust bootstrap in analysing large multivariate datasets. ACSSC 2014: 8-13 - [c16]Shahab Basiri, Esa Ollila, Visa Koivunen:
Fast and robust bootstrap method for testing hypotheses in the ICA model. ICASSP 2014: 6-10 - [c15]Esa Ollila, Hyon-Jung Kim, Visa Koivunen:
Robust iterative hard thresholding for compressed sensing. ISCCSP 2014: 226-229 - [c14]Hyon-Jung Kim, Esa Ollila, Visa Koivunen, H. Vincent Poor:
Robust iteratively reweighted Lasso for sparse tensor factorizations. SSP 2014: 420-423 - [i1]Esa Ollila, Hyon-Jung Kim, Visa Koivunen:
Robust iterative hard thresholding for compressed sensing. CoRR abs/1405.1502 (2014) - 2013
- [c13]Hyon-Jung Kim, Esa Ollila, Visa Koivunen, Christophe Croux:
Robust and sparse estimation of tensor decompositions. GlobalSIP 2013: 965-968 - [c12]Hyon-Jung Kim, Esa Ollila, Visa Koivunen:
Sparse regularization of tensor decompositions. ICASSP 2013: 3836-3840 - 2012
- [j13]Esa Ollila, David E. Tyler, Visa Koivunen, H. Vincent Poor:
Compound-Gaussian Clutter Modeling With an Inverse Gaussian Texture Distribution. IEEE Signal Process. Lett. 19(12): 876-879 (2012) - [j12]Esa Ollila, David E. Tyler, Visa Koivunen, H. Vincent Poor:
Complex Elliptically Symmetric Distributions: Survey, New Results and Applications. IEEE Trans. Signal Process. 60(11): 5597-5625 (2012) - [c11]Seyed Alireza Razavi, Esa Ollila, Visa Koivunen:
Robust greedy algorithms for compressed sensing. EUSIPCO 2012: 969-973 - [c10]Esa Ollila, David E. Tyler:
Distribution-free detection under complex elliptically symmetric clutter distribution. SAM 2012: 413-416 - 2011
- [j11]Jukka J. Remes, Tuomo Starck, Juha Nikkinen, Esa Ollila, Christian F. Beckmann, Osmo Tervonen, Vesa Kiviniemi, Olli Silvén:
Effects of repeatability measures on results of fMRI sICA: A study on simulated and real resting-state effects. NeuroImage 56(2): 554-569 (2011) - [j10]Esa Ollila, Jan Eriksson, Visa Koivunen:
Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests. IEEE Trans. Signal Process. 59(1): 58-69 (2011) - [j9]Mike Novey, Esa Ollila, Tülay Adali:
On Testing the Extent of Noncircularity. IEEE Trans. Signal Process. 59(11): 5632-5637 (2011) - [c9]Klaus Nordhausen, Pauliina Ilmonen, Abhijit Mandal, Hannu Oja, Esa Ollila:
Deflation-based FastICA reloaded. EUSIPCO 2011: 1854-1858 - [c8]Esa Ollila, Visa Koivunen, H. Vincent Poor:
A robust estimator and detector of circularity of complex signals. ICASSP 2011: 3620-3623 - [c7]Esa Ollila, Hyon-Jung Kim:
On testing hypotheses of mixing vectors in the ICA model using fastica. ISBI 2011: 325-328 - [c6]Esa Ollila, Visa Koivunen, H. Vincent Poor:
Complex-valued signal processing - essential models, tools and statistics. ITA 2011: 296-305 - 2010
- [j8]Esa Ollila:
The deflation-based FastICA estimator: statistical analysis revisited. IEEE Trans. Signal Process. 58(3): 1527-1541 (2010) - [j7]Jan Eriksson, Esa Ollila, Visa Koivunen:
Essential statistics and tools for complex random variables. IEEE Trans. Signal Process. 58(10): 5400-5408 (2010) - [c5]Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Esa Ollila:
A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. LVA/ICA 2010: 229-236
2000 – 2009
- 2009
- [j6]Esa Ollila, Visa Koivunen:
Complex ICA using generalized uncorrelating transform. Signal Process. 89(4): 365-377 (2009) - [j5]Esa Ollila, Visa Koivunen:
Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer. IEEE Trans. Signal Process. 57(1): 247-259 (2009) - [c4]Jan Eriksson, Esa Ollila, Visa Koivunen:
Statistics for complex random variables revisited. ICASSP 2009: 3565-3568 - 2008
- [j4]Esa Ollila, Hannu Oja, Visa Koivunen:
Complex-valued ICA based on a pair of generalized covariance matrices. Comput. Stat. Data Anal. 52(7): 3789-3805 (2008) - [j3]Esa Ollila:
On the Circularity of a Complex Random Variable. IEEE Signal Process. Lett. 15: 841-844 (2008) - [j2]Esa Ollila, Hyon-Jung Kim, Visa Koivunen:
Compact Cramér-Rao Bound Expression for Independent Component Analysis. IEEE Trans. Signal Process. 56(4): 1421-1428 (2008) - 2007
- [j1]Cássio B. Ribeiro, Esa Ollila, Visa Koivunen:
Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation. IEEE Trans. Signal Process. 55(1): 46-55 (2007) - 2005
- [c3]Cássio B. Ribeiro, Esa Ollila, Visa Koivunen:
Propagation parameter estimation in MIMO systems using mixture of angular distributions model. ICASSP (4) 2005: 885-888 - 2004
- [c2]Cássio B. Ribeiro, Esa Ollila, Visa Koivunen:
Stochastic maximum likelihood method for propagation parameter estimation. PIMRC 2004: 1839-1843 - 2003
- [c1]Esa Ollila, Visa Koivunen:
Robust antenna array processing using M-estimators of pseudo-covariance. PIMRC 2003: 2659-2663
Coauthor Index
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