Esa Ollila - RankMe

108 papers B 2Misc 19Journal 55Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Tutorial on AI-Empowered Integrated Sensing and Communications. IEEE Commun. Surv. Tutorials Mojtaba Vaezi, Gayan Amarasuriya Aruma Baduge, Esa Ollila, Sergiy A. Vorobyov
2026	J	`jnl`	Anisotropic Tensor Deconvolution of Hyperspectral Images. CoRR Xinjue Wang, Xiuheng Wang, Esa Ollila, Sergiy A. Vorobyov
2026	J	`jnl`	Beamforming Design for Minimizing the Signal Power Estimation Error. IEEE Trans. Signal Process. Esa Ollila, Xavier Mestre, Elias Raninen
2026	J	`jnl`	Generalized nonnegative structured Kruskal tensor regression. Signal Process. Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov, Ammar Mian
2025	J	`jnl`	AI-Empowered Integrated Sensing and Communications. CoRR Mojtaba Vaezi, Gayan Amarasuriya Aruma Baduge, Esa Ollila, Sergiy A. Vorobyov
2025	J	`jnl`	Activity Detection for Massive Random Access Using Covariance-Based Matching Pursuit. IEEE Trans. Veh. Technol. Leatile Marata, Esa Ollila, Hirley Alves
2025	—	`conf`	Approach to Beamforming Minimizing the Signal Power Estimation Error. EUSIPCO Esa Ollila, Xavier Mestre, Elias Raninen
2025	—	`conf`	Efficient Deep Neural Receiver with Post-Training Quantization. IEEECONF SaiKrishna Saketh Yellapragada, Esa Ollila, Mário Costa
2025	J	`jnl`	Frequency Range 3 for ISAC in 6G: Potentials and Challenges. CoRR Gayan Amarasuriya Aruma Baduge, Mojtaba Vaezi, Janith Kavindu Dassanayake, Muhammad Zia Hameed, Esa Ollila, Sergiy A. Vorobyov
2025	—	`conf`	Multi-Task Generative Modeling for the Air Channel via Hierarchical GANs. SSP Juho Kuikka, Esa Ollila, Sergiy A. Vorobyov
2025	Misc	`conf`	Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit. ICASSP Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2025	J	`jnl`	Robust Activity Detection for Massive Random Access. IEEE Trans. Signal Process. Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2025	Misc	`conf`	Robust Hybrid Beamforming for Integrated Sensing and Communications via Learned Optimization. ICASSP Lei Wang, Sergiy A. Vorobyov, Esa Ollila
2024	J	`jnl`	Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model. IEEE Trans. Signal Inf. Process. over Networks Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2024	J	`jnl`	Greedy Capon Beamformer. IEEE Signal Process. Lett. Esa Ollila
2024	—	`conf`	Matching Pursuit Covariance Learning. EUSIPCO Esa Ollila
2024	J	`jnl`	Robust and sparse M-estimation of DOA. Signal Process. Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park
2023	J	`jnl`	Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2023	—	`conf`	Correlation-Based Graph Smoothness Measures In Graph Signal Processing. EUSIPCO Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Xinjue Wang
2023	J	`jnl`	New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Trans. Geosci. Remote. Sens. Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller
2023	—	`conf`	Nonnegative Structured Kruskal Tensor Regression. CAMSAP Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2023	Misc	`conf`	Regularized EM Algorithm. ICASSP Pierre Houdouin, Esa Ollila, Frédéric Pascal
2023	J	`jnl`	Regularized EM algorithm. CoRR Pierre Houdouin, Esa Ollila, Frédéric Pascal
2023	—	`conf`	Robust Sparse Bayesian Learning for DOA. EUSIPCO Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park
2023	—	`conf`	Sparsity-Aware Block Diagonal Representation for Subspace Clustering. EUSIPCO Aylin Tastan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir
2022	J	`jnl`	Bias Adjusted Sign Covariance Matrix. IEEE Signal Process. Lett. Elias Raninen, Esa Ollila
2022	Misc	`conf`	DOA M-Estimation Using Sparse Bayesian Learning. ICASSP Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila
2022	—	`conf`	Graph Neural Network Sensitivity Under Probabilistic Error Model. EUSIPCO Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2022	J	`jnl`	Graph Neural Network Sensitivity Under Probabilistic Error Model. CoRR Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov
2022	J	`jnl`	Linear Pooling of Sample Covariance Matrices. IEEE Trans. Signal Process. Elias Raninen, David E. Tyler, Esa Ollila
2022	J	`jnl`	Multimodal image fusion via coupled feature learning. Signal Process. Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila
2022	J	`jnl`	Regularized Tapered Sample Covariance Matrix. IEEE Trans. Signal Process. Esa Ollila, Arnaud Breloy
2022	—	`conf`	Robust tensor regression with applications in imaging. EUSIPCO Esa Ollila, Hyon-Jung Kim
2021	J	`jnl`	Coupled Feature Learning for Multimodal Medical Image Fusion. CoRR Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila
2021	J	`jnl`	Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes. IEEE Trans. Signal Process. Elias Raninen, Esa Ollila
2021	J	`jnl`	Graph Signal Processing Meets Blind Source Separation. IEEE Trans. Signal Process. Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila
2021	—	`conf`	Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO Frédéric Pascal, Esa Ollila, Daniel P. Palomar
2021	J	`jnl`	Modelling and studying the effect of graph errors in graph signal processing. Signal Process. Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
2021	J	`jnl`	On the Variability of the Sample Covariance Matrix Under Complex Elliptical Distributions. IEEE Signal Process. Lett. Elias Raninen, Esa Ollila, David E. Tyler
2021	—	`conf`	Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix. WSA Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila
2021	J	`jnl`	Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2021	J	`jnl`	Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. Michael Muma, Esa Ollila, Frédéric Pascal
2020	—	`conf`	A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. EUSIPCO Ammar Mian, Elias Raninen, Esa Ollila
2020	J	`jnl`	A Compressive Classification Framework for High-Dimensional Data. CoRR Muhammad Naveed Tabassum, Esa Ollila
2020	Misc	`conf`	Blind Source Separation of Graph Signals. ICASSP Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
2020	—	`conf`	Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. MLSP Esa Ollila, Ammar Mian
2020	J	`jnl`	Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications. CoRR Esa Ollila, Ammar Mian
2020	J	`jnl`	Coupled regularized sample covariance matrix estimator for multiple classes. CoRR Elias Raninen, Esa Ollila
2020	J	`jnl`	Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models. IEEE J. Sel. Top. Signal Process. Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov
2020	J	`jnl`	Graph Signal Processing Meets Blind Source Separation. CoRR Jari Miettinen, Eyal Nitzan, Sergiy A. Vorobyov, Esa Ollila
2020	Misc	`conf`	M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2020	Misc	`conf`	Robust Registration of Multi-modal Medical Images Using Huber's Criterion. ACSSC Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov
2019	Misc	`conf`	Fusing Eigenvalues. ICASSP Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal
2019	—	`conf`	ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions. CAMSAP Nora Ouzir, Esa Ollila, Sergiy A. Vorobyov
2019	J	`jnl`	Modelling Graph Errors: Towards Robust Graph Signal Processing. CoRR Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
2019	J	`jnl`	Optimal Shrinkage Covariance Matrix Estimation Under Random Sampling From Elliptical Distributions. IEEE Trans. Signal Process. Esa Ollila, Elias Raninen
2019	Misc	`conf`	Robust Least Mean Squares Estimation of Graph Signals. ICASSP Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
2019	—	`conf`	Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP Arnaud Breloy, Esa Ollila, Frédéric Pascal
2018	Misc	`conf`	Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies. ICASSP Muhammad Naveed Tabassum, Esa Ollila
2018	Misc	`conf`	Graph Error Effect in Graph Signal Processing. ICASSP Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila
2018	Misc	`conf`	Optimal Pooling of Covariance Matrix Estimates Across Multiple Classes. ICASSP Elias Raninen, Esa Ollila
2018	J	`jnl`	Sequential adaptive elastic net approach for single-snapshot source localization. CoRR Muhammad Naveed Tabassum, Esa Ollila
2018	—	`conf`	Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization. EUSIPCO Muhammad Naveed Tabassum, Esa Ollila
2017	J	`jnl`	Alternative Derivation of FastICA With Novel Power Iteration Algorithm. IEEE Signal Process. Lett. Shahab Basiri, Esa Ollila, Visa Koivunen
2017	J	`jnl`	Enhanced bootstrap method for statistical inference in the ICA model. Signal Process. Shahab Basiri, Esa Ollila, Visa Koivunen
2017	—	`conf`	Optimal high-dimensional shrinkage covariance estimation for elliptical distributions. EUSIPCO Esa Ollila
2017	—	`conf`	Pathwise least angle regression and a significance test for the elastic net. EUSIPCO Muhammad Naveed Tabassum, Esa Ollila
2017	Misc	`conf`	Scaled and square-root elastic net. ICASSP Elias Raninen, Esa Ollila
2016	—	`conf`	Adaptive LASSO based on joint M-estimation of regression and scale. EUSIPCO Esa Ollila
2016	J	`jnl`	Robust, Scalable, and Fast Bootstrap Method for Analyzing Large Scale Data. IEEE Trans. Signal Process. Shahab Basiri, Esa Ollila, Visa Koivunen
2015	J	`jnl`	Multichannel sparse recovery of complex-valued signals using Huber's criterion. CoRR Esa Ollila
2015	—	`conf`	New robust LASSO method based on ranks. EUSIPCO Hyon-Jung Kim, Esa Ollila, Visa Koivunen
2015	J	`jnl`	Nonparametric Simultaneous Sparse Recovery: an Application to Source Localization. CoRR Esa Ollila
2015	—	`conf`	Nonparametric simultaneous sparse recovery: An application to source localization. EUSIPCO Esa Ollila
2015	—	`conf`	Randomized simultaneous orthogonal matching pursuit. EUSIPCO Aqib Ejaz, Esa Ollila, Visa Koivunen
2015	J	`jnl`	Robust, scalable and fast bootstrap method for analyzing large scale data. CoRR Shahab Basiri, Esa Ollila, Visa Koivunen
2014	Misc	`conf`	Fast and robust bootstrap in analysing large multivariate datasets. ACSSC Shahab Basiri, Esa Ollila, Visa Koivunen
2014	Misc	`conf`	Fast and robust bootstrap method for testing hypotheses in the ICA model. ICASSP Shahab Basiri, Esa Ollila, Visa Koivunen
2014	J	`jnl`	Regularized M-Estimators of Scatter Matrix. IEEE Trans. Signal Process. Esa Ollila, David E. Tyler
2014	—	`conf`	Robust iterative hard thresholding for compressed sensing. ISCCSP Esa Ollila, Hyon-Jung Kim, Visa Koivunen
2014	J	`jnl`	Robust iterative hard thresholding for compressed sensing. CoRR Esa Ollila, Hyon-Jung Kim, Visa Koivunen
2014	—	`conf`	Robust iteratively reweighted Lasso for sparse tensor factorizations. SSP Hyon-Jung Kim, Esa Ollila, Visa Koivunen, H. Vincent Poor
2013	—	`conf`	Robust and sparse estimation of tensor decompositions. GlobalSIP Hyon-Jung Kim, Esa Ollila, Visa Koivunen, Christophe Croux
2013	Misc	`conf`	Sparse regularization of tensor decompositions. ICASSP Hyon-Jung Kim, Esa Ollila, Visa Koivunen
2012	J	`jnl`	Complex Elliptically Symmetric Distributions: Survey, New Results and Applications. IEEE Trans. Signal Process. Esa Ollila, David E. Tyler, Visa Koivunen, H. Vincent Poor
2012	J	`jnl`	Compound-Gaussian Clutter Modeling With an Inverse Gaussian Texture Distribution. IEEE Signal Process. Lett. Esa Ollila, David E. Tyler, Visa Koivunen, H. Vincent Poor
2012	—	`conf`	Distribution-free detection under complex elliptically symmetric clutter distribution. SAM Esa Ollila, David E. Tyler
2012	—	`conf`	Robust greedy algorithms for compressed sensing. EUSIPCO Seyed Alireza Razavi, Esa Ollila, Visa Koivunen
2011	Misc	`conf`	A robust estimator and detector of circularity of complex signals. ICASSP Esa Ollila, Visa Koivunen, H. Vincent Poor
2011	J	`jnl`	Complex Elliptically Symmetric Random Variables - Generation, Characterization, and Circularity Tests. IEEE Trans. Signal Process. Esa Ollila, Jan Eriksson, Visa Koivunen
2011	Misc	`conf`	Complex-valued signal processing - essential models, tools and statistics. ITA Esa Ollila, Visa Koivunen, H. Vincent Poor
2011	—	`conf`	Deflation-based FastICA reloaded. EUSIPCO Klaus Nordhausen, Pauliina Ilmonen, Abhijit Mandal, Hannu Oja, Esa Ollila
2011	J	`jnl`	Effects of repeatability measures on results of fMRI sICA: A study on simulated and real resting-state effects. NeuroImage Jukka J. Remes, Tuomo Starck, Juha Nikkinen, Esa Ollila, Christian F. Beckmann, Osmo Tervonen, Vesa Kiviniemi, Olli Silvén
2011	J	`jnl`	On Testing the Extent of Noncircularity. IEEE Trans. Signal Process. Mike Novey, Esa Ollila, Tülay Adali
2011	—	`conf`	On testing hypotheses of mixing vectors in the ICA model using fastica. ISBI Esa Ollila, Hyon-Jung Kim
2010	—	`conf`	A New Performance Index for ICA: Properties, Computation and Asymptotic Analysis. LVA/ICA Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Esa Ollila
2010	J	`jnl`	Essential statistics and tools for complex random variables. IEEE Trans. Signal Process. Jan Eriksson, Esa Ollila, Visa Koivunen
2010	J	`jnl`	The deflation-based FastICA estimator: statistical analysis revisited. IEEE Trans. Signal Process. Esa Ollila
2009	J	`jnl`	Complex ICA using generalized uncorrelating transform. Signal Process. Esa Ollila, Visa Koivunen
2009	J	`jnl`	Influence Function and Asymptotic Efficiency of Scatter Matrix Based Array Processors: Case MVDR Beamformer. IEEE Trans. Signal Process. Esa Ollila, Visa Koivunen
2009	Misc	`conf`	Statistics for complex random variables revisited. ICASSP Jan Eriksson, Esa Ollila, Visa Koivunen
2008	J	`jnl`	Compact Cramér-Rao Bound Expression for Independent Component Analysis. IEEE Trans. Signal Process. Esa Ollila, Hyon-Jung Kim, Visa Koivunen
2008	J	`jnl`	Complex-valued ICA based on a pair of generalized covariance matrices. Comput. Stat. Data Anal. Esa Ollila, Hannu Oja, Visa Koivunen
2008	J	`jnl`	On the Circularity of a Complex Random Variable. IEEE Signal Process. Lett. Esa Ollila
2007	J	`jnl`	Stochastic Maximum-Likelihood Method for MIMO Propagation Parameter Estimation. IEEE Trans. Signal Process. Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
2005	—	`conf`	Propagation parameter estimation in MIMO systems using mixture of angular distributions model. ICASSP (4) Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
2004	B	`conf`	Stochastic maximum likelihood method for propagation parameter estimation. PIMRC Cássio B. Ribeiro, Esa Ollila, Visa Koivunen
2003	B	`conf`	Robust antenna array processing using M-estimators of pseudo-covariance. PIMRC Esa Ollila, Visa Koivunen