Esa Ollila

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 59

Top Topics

Covariance Matrix

Signal Processing

Bayesian Learning

Top Venues

IEEE Trans. Signal Process.

Publications

Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
Nonnegative Structured Kruskal Tensor Regression. CAMSAP (2023)
Aylin Tastan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir
Sparsity-Aware Block Diagonal Representation for Subspace Clustering. EUSIPCO (2023)
Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park
Robust Sparse Bayesian Learning for DOA. EUSIPCO (2023)
Pierre Houdouin, Esa Ollila, Frédéric Pascal
Regularized EM algorithm. CoRR (2023)
Pierre Houdouin, Esa Ollila, Frédéric Pascal
Regularized EM Algorithm. ICASSP (2023)
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 (2023)
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 (2023)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Xinjue Wang
Correlation-Based Graph Smoothness Measures In Graph Signal Processing. EUSIPCO (2023)
Esa Ollila, Hyon-Jung Kim
Robust tensor regression with applications in imaging. EUSIPCO (2022)
Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
Graph Neural Network Sensitivity Under Probabilistic Error Model. EUSIPCO (2022)
Elias Raninen, Esa Ollila
Bias Adjusted Sign Covariance Matrix. IEEE Signal Process. Lett. 29 (2022)
Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
Graph Neural Network Sensitivity Under Probabilistic Error Model. CoRR (2022)
Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila
Multimodal image fusion via coupled feature learning. Signal Process. 200 (2022)
Esa Ollila, Arnaud Breloy
Regularized Tapered Sample Covariance Matrix. IEEE Trans. Signal Process. 70 (2022)
Elias Raninen, David E. Tyler, Esa Ollila
Linear Pooling of Sample Covariance Matrices. IEEE Trans. Signal Process. 70 (2022)
Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila
DOA M-Estimation Using Sparse Bayesian Learning. ICASSP (2022)
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)
Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila
Graph Signal Processing Meets Blind Source Separation. IEEE Trans. Signal Process. 69 (2021)
Frédéric Pascal, Esa Ollila, Daniel P. Palomar
Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO (2021)
Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila
Coupled Feature Learning for Multimodal Medical Image Fusion. CoRR (2021)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
Modelling and studying the effect of graph errors in graph signal processing. Signal Process. 189 (2021)
Elias Raninen, Esa Ollila
Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes. IEEE Trans. Signal Process. 69 (2021)
Esa Ollila, Daniel P. Palomar, Frédéric Pascal
Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. 69 (2021)
Elias Raninen, Esa Ollila, David E. Tyler
On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions. IEEE Signal Process. Lett. 28 (2021)
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 (2021)
Esa Ollila, Daniel P. Palomar, Frédéric Pascal
M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP (2020)
Esa Ollila, Ammar Mian
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications. CoRR (2020)
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) (2020)
Muhammad Naveed Tabassum, Esa Ollila
A Compressive Classification Framework for High-Dimensional Data. CoRR (2020)
Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov
Robust Registration of Multi-modal Medical Images Using Huber's Criterion. ACSSC (2020)
Esa Ollila, Ammar Mian
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. MLSP (2020)
Elias Raninen, Esa Ollila
Coupled regularized sample covariance matrix estimator for multiple classes. CoRR (2020)
Ammar Mian, Elias Raninen, Esa Ollila
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. EUSIPCO (2020)
Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila
Graph Signal Processing Meets Blind Source Separation. CoRR (2020)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
Blind Source Separation of Graph Signals. ICASSP (2020)
Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal
Fusing Eigenvalues. ICASSP (2019)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
Robust Least Mean Squares Estimation of Graph Signals. ICASSP (2019)
Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov
ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions. CAMSAP (2019)
Arnaud Breloy, Esa Ollila, Frédéric Pascal
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP (2019)
Esa Ollila, Elias Raninen
Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions. IEEE Trans. Signal Process. 67 (10) (2019)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
Modelling Graph Errors: Towards Robust Graph Signal Processing. CoRR (2019)
Muhammad Naveed Tabassum, Esa Ollila
Sequential adaptive elastic net approach for single-snapshot source localization. CoRR (2018)
Muhammad Naveed Tabassum, Esa Ollila
Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization. EUSIPCO (2018)
Elias Raninen, Esa Ollila
Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes. ICASSP (2018)
Muhammad Naveed Tabassum, Esa Ollila
Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies. ICASSP (2018)
Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
Graph Error Effect in Graph Signal Processing. ICASSP (2018)
Shahab Basiri, Esa Ollila, Visa Koivunen
Alternative Derivation of FastICA With Novel Power Iteration Algorithm. IEEE Signal Process. Lett. 24 (9) (2017)
Esa Ollila
Optimal high-dimensional shrinkage covariance estimation for elliptical distributions. EUSIPCO (2017)
Muhammad Naveed Tabassum, Esa Ollila
Pathwise least angle regression and a significance test for the elastic net. EUSIPCO (2017)
Shahab Basiri, Esa Ollila, Visa Koivunen
Enhanced bootstrap method for statistical inference in the ICA model. Signal Process. 138 (2017)
Elias Raninen, Esa Ollila
Scaled and square-root elastic net. ICASSP (2017)
Esa Ollila
Adaptive LASSO based on joint M-estimation of regression and scale. EUSIPCO (2016)
Shahab Basiri, Esa Ollila, Visa Koivunen
Robust, Scalable, and Fast Bootstrap Method for Analyzing Large Scale Data. IEEE Trans. Signal Process. 64 (4) (2016)
Esa Ollila
Nonparametric simultaneous sparse recovery: An application to source localization. EUSIPCO (2015)
Esa Ollila
Multichannel sparse recovery of complex-valued signals using Huber's criterion. CoRR (2015)
Esa Ollila
Nonparametric Simultaneous Sparse Recovery: an Application to Source Localization. CoRR (2015)
Shahab Basiri, Esa Ollila, Visa Koivunen
Robust, scalable and fast bootstrap method for analyzing large scale data. CoRR (2015)
Hyon-Jung Kim, Esa Ollila, Visa Koivunen
New robust LASSO method based on ranks. EUSIPCO (2015)
Aqib Ejaz, Esa Ollila, Visa Koivunen
Randomized simultaneous orthogonal matching pursuit. EUSIPCO (2015)
Esa Ollila, David E. Tyler
Regularized M-Estimators of Scatter Matrix. IEEE Trans. Signal Process. 62 (22) (2014)
Shahab Basiri, Esa Ollila, Visa Koivunen
Fast and robust bootstrap in analysing large multivariate datasets. ACSSC (2014)
Esa Ollila, Hyon-Jung Kim, Visa Koivunen
Robust iterative hard thresholding for compressed sensing. CoRR (2014)
Esa Ollila, Hyon-Jung Kim, Visa Koivunen
Robust iterative hard thresholding for compressed sensing. ISCCSP (2014)
Shahab Basiri, Esa Ollila, Visa Koivunen
Fast and robust bootstrap method for testing hypotheses in the ICA model. ICASSP (2014)
Hyon-Jung Kim, Esa Ollila, Visa Koivunen, H. Vincent Poor
Robust iteratively reweighted Lasso for sparse tensor factorizations. SSP (2014)
Hyon-Jung Kim, Esa Ollila, Visa Koivunen
Sparse regularization of tensor decompositions. ICASSP (2013)
Hyon-Jung Kim, Esa Ollila, Visa Koivunen, Christophe Croux
Robust and sparse estimation of tensor decompositions. GlobalSIP (2013)
S. Alireza Razavi, Esa Ollila, Visa Koivunen
Robust greedy algorithms for compressed sensing. EUSIPCO (2012)
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) (2012)
Esa Ollila, David E. Tyler
Distribution-free detection under complex elliptically symmetric clutter distribution. SAM (2012)
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) (2012)
Mike Novey, Esa Ollila, Tülay Adali
On Testing the Extent of Noncircularity. IEEE Trans. Signal Process. 59 (11) (2011)
Esa Ollila, Hyon-Jung Kim
On testing hypotheses of mixing vectors in the ICA model using fastica. ISBI (2011)
Esa Ollila, Jan Eriksson, Visa Koivunen
Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests. IEEE Trans. Signal Process. 59 (1) (2011)
Klaus Nordhausen, Pauliina Ilmonen, Abhijit Mandal, Hannu Oja, Esa Ollila
Deflation-based FastICA reloaded. EUSIPCO (2011)
Esa Ollila, Visa Koivunen, H. Vincent Poor
Complex-valued signal processing - essential models, tools and statistics. ITA (2011)
Esa Ollila, Visa Koivunen, H. Vincent Poor
A robust estimator and detector of circularity of complex signals. ICASSP (2011)
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) (2011)
Jan Eriksson, Esa Ollila, Visa Koivunen
Essential statistics and tools for complex random variables. IEEE Trans. Signal Process. 58 (10) (2010)
Esa Ollila
The deflation-based FastICA estimator: statistical analysis revisited. IEEE Trans. Signal Process. 58 (3) (2010)
Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Esa Ollila
A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. LVA/ICA (2010)
Jan Eriksson, Esa Ollila, Visa Koivunen
Statistics for complex random variables revisited. ICASSP (2009)
Esa Ollila, Visa Koivunen
Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer. IEEE Trans. Signal Process. 57 (1) (2009)
Esa Ollila, Visa Koivunen
Complex ICA using generalized uncorrelating transform. Signal Process. 89 (4) (2009)
Esa Ollila, Hannu Oja, Visa Koivunen
Complex-valued ICA based on a pair of generalized covariance matrices. Comput. Stat. Data Anal. 52 (7) (2008)
Esa Ollila
On the Circularity of a Complex Random Variable. IEEE Signal Process. Lett. 15 (2008)
Esa Ollila, Hyon-Jung Kim, Visa Koivunen
Compact Cramér-Rao Bound Expression for Independent Component Analysis. IEEE Trans. Signal Process. 56 (4) (2008)
Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation. IEEE Trans. Signal Process. 55 (1) (2007)
Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
Propagation parameter estimation in MIMO systems using mixture of angular distributions model. ICASSP (4) (2005)
Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
Stochastic maximum likelihood method for propagation parameter estimation. PIMRC (2004)
Esa Ollila, Visa Koivunen
Robust antenna array processing using M-estimators of pseudo-covariance. PIMRC (2003)