Esa Ollila

Orcid: 0000-0002-0898-5313

According to our database1, Esa Ollila authored at least 83 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions.
IEEE Signal Process. Lett., 2023

Regularized EM Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2023

Sparsity-Aware Block Diagonal Representation for Subspace Clustering.
Proceedings of the 31st European Signal Processing Conference, 2023

Correlation-Based Graph Smoothness Measures In Graph Signal Processing.
Proceedings of the 31st European Signal Processing Conference, 2023

Robust Sparse Bayesian Learning for DOA.
Proceedings of the 31st European Signal Processing Conference, 2023

Nonnegative Structured Kruskal Tensor Regression.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Linear Pooling of Sample Covariance Matrices.
IEEE Trans. Signal Process., 2022

Regularized Tapered Sample Covariance Matrix.
IEEE Trans. Signal Process., 2022

Bias Adjusted Sign Covariance Matrix.
IEEE Signal Process. Lett., 2022

Multimodal image fusion via coupled feature learning.
Signal Process., 2022

DOA M-Estimation Using Sparse Bayesian Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Graph Neural Network Sensitivity Under Probabilistic Error Model.
Proceedings of the 30th European Signal Processing Conference, 2022

Robust tensor regression with applications in imaging.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes.
IEEE Trans. Signal Process., 2021

Shrinking the Eigenvalues of M-Estimators of Covariance Matrix.
IEEE Trans. Signal Process., 2021

Graph Signal Processing Meets Blind Source Separation.
IEEE Trans. Signal Process., 2021

On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions.
IEEE Signal Process. Lett., 2021

Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings.
Signal Process., 2021

Modelling and studying the effect of graph errors in graph signal processing.
Signal Process., 2021

Coupled Feature Learning for Multimodal Medical Image Fusion.
CoRR, 2021

Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix.
Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

Improved estimation of the degree of freedom parameter of multivariate $t$-distribution.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models.
IEEE J. Sel. Top. Signal Process., 2020

A Compressive Classification Framework for High-Dimensional Data.
CoRR, 2020

Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

M-Estimators of Scatter with Eigenvalue Shrinkage.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Blind Source Separation of Graph Signals.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features.
Proceedings of the 28th European Signal Processing Conference, 2020

Robust Registration of Multi-modal Medical Images Using Huber's Criterion.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions.
IEEE Trans. Signal Process., 2019

Modelling Graph Errors: Towards Robust Graph Signal Processing.
CoRR, 2019

Robust Least Mean Squares Estimation of Graph Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fusing Eigenvalues.
Proceedings of the IEEE International Conference on Acoustics, 2019

ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Sequential adaptive elastic net approach for single-snapshot source localization.
CoRR, 2018

Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Error Effect in Graph Signal Processing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Alternative Derivation of FastICA With Novel Power Iteration Algorithm.
IEEE Signal Process. Lett., 2017

Enhanced bootstrap method for statistical inference in the ICA model.
Signal Process., 2017

Scaled and square-root elastic net.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Pathwise least angle regression and a significance test for the elastic net.
Proceedings of the 25th European Signal Processing Conference, 2017

Optimal high-dimensional shrinkage covariance estimation for elliptical distributions.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Robust, Scalable, and Fast Bootstrap Method for Analyzing Large Scale Data.
IEEE Trans. Signal Process., 2016

Adaptive LASSO based on joint M-estimation of regression and scale.
Proceedings of the 24th European Signal Processing Conference, 2016

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

Nonparametric simultaneous sparse recovery: An application to source localization.
Proceedings of the 23rd European Signal Processing Conference, 2015

New robust LASSO method based on ranks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Randomized simultaneous orthogonal matching pursuit.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Regularized M-Estimators of Scatter Matrix.
IEEE Trans. Signal Process., 2014

Robust iteratively reweighted Lasso for sparse tensor factorizations.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust iterative hard thresholding for compressed sensing.
Proceedings of the 6th International Symposium on Communications, 2014

Fast and robust bootstrap method for testing hypotheses in the ICA model.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fast and robust bootstrap in analysing large multivariate datasets.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Sparse regularization of tensor decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Robust and sparse estimation of tensor decompositions.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Complex Elliptically Symmetric Distributions: Survey, New Results and Applications.
IEEE Trans. Signal Process., 2012

Compound-Gaussian Clutter Modeling With an Inverse Gaussian Texture Distribution.
IEEE Signal Process. Lett., 2012

Distribution-free detection under complex elliptically symmetric clutter distribution.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Robust greedy algorithms for compressed sensing.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests.
IEEE Trans. Signal Process., 2011

On Testing the Extent of Noncircularity.
IEEE Trans. Signal Process., 2011

Effects of repeatability measures on results of fMRI sICA: A study on simulated and real resting-state effects.
NeuroImage, 2011

Complex-valued signal processing - essential models, tools and statistics.
Proceedings of the Information Theory and Applications Workshop, 2011

On testing hypotheses of mixing vectors in the ICA model using fastica.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A robust estimator and detector of circularity of complex signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

Deflation-based FastICA reloaded.
Proceedings of the 19th European Signal Processing Conference, 2011

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

Essential statistics and tools for complex random variables.
IEEE Trans. Signal Process., 2010

A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer.
IEEE Trans. Signal Process., 2009

Complex ICA using generalized uncorrelating transform.
Signal Process., 2009

Statistics for complex random variables revisited.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Compact Cramér-Rao Bound Expression for Independent Component Analysis.
IEEE Trans. Signal Process., 2008

On the Circularity of a Complex Random Variable.
IEEE Signal Process. Lett., 2008

Complex-valued ICA based on a pair of generalized covariance matrices.
Comput. Stat. Data Anal., 2008

2007
Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation.
IEEE Trans. Signal Process., 2007

2005
Propagation parameter estimation in MIMO systems using mixture of angular distributions model.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Stochastic maximum likelihood method for propagation parameter estimation.
Proceedings of the IEEE 15th International Symposium on Personal, 2004

2003
Robust antenna array processing using M-estimators of pseudo-covariance.
Proceedings of the IEEE 14th International Symposium on Personal, 2003


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