Robust antenna array processing using M-estimators of pseudo-covariance. - Esa Ollila; Visa Koivunen (PIMRC, 2003)

Stochastic maximum likelihood method for propagation parameter estimation. - Cássio B. Ribeiro; Esa Ollila; Visa Koivunen (PIMRC, 2004)

Propagation parameter estimation in MIMO systems using mixture of angular distributions model. - Cássio B. Ribeiro; Esa Ollila; Visa Koivunen (ICASSP (4), 2005)

Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation. - Cássio B. Ribeiro; Esa Ollila; Visa Koivunen (IEEE Trans. Signal Process., 2007)

Complex-valued ICA based on a pair of generalized covariance matrices. - Esa Ollila; Hannu Oja; Visa Koivunen (Comput. Stat. Data Anal., 2008)

On the Circularity of a Complex Random Variable. - Esa Ollila (IEEE Signal Process. Lett., 2008)

Compact Cramér-Rao Bound Expression for Independent Component Analysis. - Esa Ollila; Hyon-Jung Kim; Visa Koivunen (IEEE Trans. Signal Process., 2008)

Statistics for complex random variables revisited. - Jan Eriksson; Esa Ollila; Visa Koivunen (ICASSP, 2009)

Complex ICA using generalized uncorrelating transform. - Esa Ollila; Visa Koivunen (Signal Process., 2009)

Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer. - Esa Ollila; Visa Koivunen (IEEE Trans. Signal Process., 2009)

A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. - Pauliina Ilmonen; Klaus Nordhausen; Hannu Oja; Esa Ollila (LVA/ICA, 2010)

Essential statistics and tools for complex random variables. - Jan Eriksson; Esa Ollila; Visa Koivunen (IEEE Trans. Signal Process., 2010)

The deflation-based FastICA estimator: statistical analysis revisited. - Esa Ollila (IEEE Trans. Signal Process., 2010)

Deflation-based FastICA reloaded. - Klaus Nordhausen; Pauliina Ilmonen; Abhijit Mandal; Hannu Oja; Esa Ollila (EUSIPCO, 2011)

A robust estimator and detector of circularity of complex signals. - Esa Ollila; Visa Koivunen; H. Vincent Poor (ICASSP, 2011)

On testing hypotheses of mixing vectors in the ICA model using fastica. - Esa Ollila; Hyon-Jung Kim (ISBI, 2011)

Complex-valued signal processing - essential models, tools and statistics. - Esa Ollila; Visa Koivunen; H. Vincent Poor (ITA, 2011)

Effects of repeatability measures on results of fMRI sICA: A study on simulated and real resting-state effects. - Jukka J. Remes; Tuomo Starck; Juha Nikkinen; Esa Ollila; Christian F. Beckmann; Osmo Tervonen; Vesa Kiviniemi; Olli Silvén (NeuroImage, 2011)

On Testing the Extent of Noncircularity. - Mike Novey; Esa Ollila; Tülay Adali (IEEE Trans. Signal Process., 2011)

Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests. - Esa Ollila; Jan Eriksson; Visa Koivunen (IEEE Trans. Signal Process., 2011)

Robust greedy algorithms for compressed sensing. - Seyed Alireza Razavi; Esa Ollila; Visa Koivunen (EUSIPCO, 2012)

Distribution-free detection under complex elliptically symmetric clutter distribution. - Esa Ollila; David E. Tyler (SAM, 2012)

Compound-Gaussian Clutter Modeling With an Inverse Gaussian Texture Distribution. - Esa Ollila; David E. Tyler; Visa Koivunen; H. Vincent Poor (IEEE Signal Process. Lett., 2012)

Complex Elliptically Symmetric Distributions: Survey, New Results and Applications. - Esa Ollila; David E. Tyler; Visa Koivunen; H. Vincent Poor (IEEE Trans. Signal Process., 2012)

Robust and sparse estimation of tensor decompositions. - Hyon-Jung Kim; Esa Ollila; Visa Koivunen; Christophe Croux (GlobalSIP, 2013)

Sparse regularization of tensor decompositions. - Hyon-Jung Kim; Esa Ollila; Visa Koivunen (ICASSP, 2013)

Fast and robust bootstrap in analysing large multivariate datasets. - Shahab Basiri; Esa Ollila; Visa Koivunen (ACSSC, 2014)

Fast and robust bootstrap method for testing hypotheses in the ICA model. - Shahab Basiri; Esa Ollila; Visa Koivunen (ICASSP, 2014)

Robust iterative hard thresholding for compressed sensing. - Esa Ollila; Hyon-Jung Kim; Visa Koivunen (ISCCSP, 2014)

Robust iteratively reweighted Lasso for sparse tensor factorizations. - Hyon-Jung Kim; Esa Ollila; Visa Koivunen; H. Vincent Poor (SSP, 2014)

Regularized M-Estimators of Scatter Matrix. - Esa Ollila; David E. Tyler (IEEE Trans. Signal Process., 2014)

Randomized simultaneous orthogonal matching pursuit. - Aqib Ejaz; Esa Ollila; Visa Koivunen (EUSIPCO, 2015)

New robust LASSO method based on ranks. - Hyon-Jung Kim; Esa Ollila; Visa Koivunen (EUSIPCO, 2015)

Nonparametric simultaneous sparse recovery: An application to source localization. - Esa Ollila (EUSIPCO, 2015)

Multichannel sparse recovery of complex-valued signals using Huber's criterion. - Esa Ollila (CoRR, 2015)

Adaptive LASSO based on joint M-estimation of regression and scale. - Esa Ollila (EUSIPCO, 2016)

Robust, Scalable, and Fast Bootstrap Method for Analyzing Large Scale Data. - Shahab Basiri; Esa Ollila; Visa Koivunen (IEEE Trans. Signal Process., 2016)

Optimal high-dimensional shrinkage covariance estimation for elliptical distributions. - Esa Ollila (EUSIPCO, 2017)

Pathwise least angle regression and a significance test for the elastic net. - Muhammad Naveed Tabassum; Esa Ollila (EUSIPCO, 2017)

Scaled and square-root elastic net. - Elias Raninen; Esa Ollila (ICASSP, 2017)

Enhanced bootstrap method for statistical inference in the ICA model. - Shahab Basiri; Esa Ollila; Visa Koivunen (Signal Process., 2017)

Alternative Derivation of FastICA With Novel Power Iteration Algorithm. - Shahab Basiri; Esa Ollila; Visa Koivunen (IEEE Signal Process. Lett., 2017)

Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization. - Muhammad Naveed Tabassum; Esa Ollila (EUSIPCO, 2018)

Graph Error Effect in Graph Signal Processing. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila (ICASSP, 2018)

Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes. - Elias Raninen; Esa Ollila (ICASSP, 2018)

Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies. - Muhammad Naveed Tabassum; Esa Ollila (ICASSP, 2018)

Sequential adaptive elastic net approach for single-snapshot source localization. - Muhammad Naveed Tabassum; Esa Ollila (CoRR, 2018)

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. - Arnaud Breloy; Esa Ollila; Frédéric Pascal 001 (CAMSAP, 2019)

ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions. - Nora Ouzir; Esa Ollila; Sergiy A. Vorobyov (CAMSAP, 2019)

Fusing Eigenvalues. - Shahab Basiri; Esa Ollila; Gordana Draskovic; Frédéric Pascal 001 (ICASSP, 2019)

Robust Least Mean Squares Estimation of Graph Signals. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila (ICASSP, 2019)

Modelling Graph Errors: Towards Robust Graph Signal Processing. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila (CoRR, 2019)

Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions. - Esa Ollila; Elias Raninen (IEEE Trans. Signal Process., 2019)

Robust Registration of Multi-modal Medical Images Using Huber's Criterion. - Nora Ouzir; Esa Ollila; Sergiy A. Vorobyov (ACSSC, 2020)

A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. - Ammar Mian; Elias Raninen; Esa Ollila (EUSIPCO, 2020)

Blind Source Separation of Graph Signals. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila (ICASSP, 2020)

M-Estimators of Scatter with Eigenvalue Shrinkage. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (ICASSP, 2020)

Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. - Esa Ollila; Ammar Mian (MLSP, 2020)

A Compressive Classification Framework for High-Dimensional Data. - Muhammad Naveed Tabassum; Esa Ollila (CoRR, 2020)

Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models. - Nora Ouzir; Esa Ollila; Sergiy A. Vorobyov (IEEE J. Sel. Top. Signal Process., 2020)

Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. - Frédéric Pascal 001; Esa Ollila; Daniel P. Palomar (EUSIPCO, 2021)

Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila (WSA, 2021)

Coupled Feature Learning for Multimodal Medical Image Fusion. - Farshad G. Veshki; Nora Ouzir; Sergiy A. Vorobyov; Esa Ollila (CoRR, 2021)

Modelling and studying the effect of graph errors in graph signal processing. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila (Signal Process., 2021)

Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. - Michael Muma; Esa Ollila; Frédéric Pascal 001 (Signal Process., 2021)

On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions. - Elias Raninen; Esa Ollila; David E. Tyler (IEEE Signal Process. Lett., 2021)

Graph Signal Processing Meets Blind Source Separation. - Jari Miettinen; Eyal Nitzan; Sergiy A. Vorobyov; Esa Ollila (IEEE Trans. Signal Process., 2021)

Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2021)

Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes. - Elias Raninen; Esa Ollila (IEEE Trans. Signal Process., 2021)

Robust tensor regression with applications in imaging. - Esa Ollila; Hyon-Jung Kim (EUSIPCO, 2022)

Graph Neural Network Sensitivity Under Probabilistic Error Model. - Xinjue Wang; Esa Ollila; Sergiy A. Vorobyov (EUSIPCO, 2022)

DOA M-Estimation Using Sparse Bayesian Learning. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila (ICASSP, 2022)

Multimodal image fusion via coupled feature learning. - Farshad G. Veshki; Nora Ouzir; Sergiy A. Vorobyov; Esa Ollila (Signal Process., 2022)

Bias Adjusted Sign Covariance Matrix. - Elias Raninen; Esa Ollila (IEEE Signal Process. Lett., 2022)

Regularized Tapered Sample Covariance Matrix. - Esa Ollila; Arnaud Breloy (IEEE Trans. Signal Process., 2022)

Linear Pooling of Sample Covariance Matrices. - Elias Raninen; David E. Tyler; Esa Ollila (IEEE Trans. Signal Process., 2022)

Nonnegative Structured Kruskal Tensor Regression. - Xinjue Wang; Esa Ollila; Sergiy A. Vorobyov (CAMSAP, 2023)

Robust Sparse Bayesian Learning for DOA. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila; Yongsung Park (EUSIPCO, 2023)

Correlation-Based Graph Smoothness Measures In Graph Signal Processing. - Jari Miettinen; Sergiy A. Vorobyov; Esa Ollila; Xinjue Wang (EUSIPCO, 2023)

Sparsity-Aware Block Diagonal Representation for Subspace Clustering. - Aylin Tastan; Michael Muma; Esa Ollila; Abdelhak M. Zoubir (EUSIPCO, 2023)

Regularized EM Algorithm. - Pierre Houdouin; Esa Ollila; Frédéric Pascal 001 (ICASSP, 2023)

Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (IEEE Signal Process. Lett., 2023)

New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. - Matthieu Gallet; Ammar Mian; Guillaume Ginolhac; Esa Ollila; Nickolas Stelzenmuller (IEEE Trans. Geosci. Remote. Sens., 2023)

Matching Pursuit Covariance Learning. - Esa Ollila (EUSIPCO, 2024)

Robust and sparse M-estimation of DOA. - Christoph F. Mecklenbräuker; Peter Gerstoft; Esa Ollila; Yongsung Park (Signal Process., 2024)

Greedy Capon Beamformer. - Esa Ollila (IEEE Signal Process. Lett., 2024)

Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model. - Xinjue Wang; Esa Ollila; Sergiy A. Vorobyov (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit. - Xinjue Wang; Esa Ollila; Sergiy A. Vorobyov (ICASSP, 2025)

Robust Hybrid Beamforming for Integrated Sensing and Communications via Learned Optimization. - Lei Wang; Sergiy A. Vorobyov; Esa Ollila (ICASSP, 2025)

Multi-Task Generative Modeling for the Air Channel via Hierarchical GANs. - Juho Kuikka; Esa Ollila; Sergiy A. Vorobyov (SSP, 2025)

AI-Empowered Integrated Sensing and Communications. - Mojtaba Vaezi; Gayan Amarasuriya Aruma Baduge; Esa Ollila; Sergiy A. Vorobyov (CoRR, 2025)

Frequency Range 3 for ISAC in 6G: Potentials and Challenges. - Gayan Amarasuriya Aruma Baduge; Mojtaba Vaezi; Janith Kavindu Dassanayake; Muhammad Zia Hameed; Esa Ollila; Sergiy A. Vorobyov (CoRR, 2025)