120 citations · 313 across the 25 of their papers we have counts for
29 papers
Beamforming design for minimizing the signal power estimation error
Esa Ollila, Xavier Mestre, Elias Raninen
We study the properties of beamformers in their ability to either maintain or estimate the true signal power of the signal of interest (SOI). Our focus is particularly on the Capon…
Affine equivariant Tyler's M-estimator applied to tail parameter learning of elliptical distributions
Esa Ollila, Daniel P. Palomar, Frederic Pascal
We propose estimating the scale parameter (mean of the eigenvalues) of the scatter matrix of an unspecified elliptically symmetric distribution using weights obtained by solving Ty…
Regularized EM algorithm
Pierre Houdouin, Esa Ollila, Frederic Pascal
Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing (local) maximum likelihood estimate (MLE). It can be used in an extensive range of proble…
Robust and Sparse M-Estimation of DOA
Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila +1
A robust and sparse Direction of Arrival (DOA) estimator is derived for array data that follows a Complex Elliptically Symmetric (CES) distribution with zero-mean and finite second…
Regularized tapered sample covariance matrix
Esa Ollila, Arnaud Breloy
Covariance matrix tapers have a long history in signal processing and related fields. Examples of applications include autoregressive models (promoting a banded structure) or beamf…
On the variability of the sample covariance matrix under complex elliptical distributions
Elias Raninen, Esa Ollila, David E. Tyler
We derive the form of the variance-covariance matrix for any affine equivariant matrix-valued statistics when sampling from complex elliptical distributions. We then use this resul…