11 citations · 28 across the 9 of their papers we have counts for
4 papers · 1 filter
Optimal shrinkage covariance matrix estimation under random sampling from elliptical distributions
Esa Ollila, Elias Raninen
This paper considers the problem of estimating a high-dimensional (HD) covariance matrix when the sample size is smaller, or not much larger, than the dimensionality of the data, w…
Simultaneous Signal Subspace Rank and Model Selection with an Application to Single-snapshot Source Localization
Muhammad Naveed Tabassum, Esa Ollila
This paper proposes a novel method for model selection in linear regression by utilizing the solution path of regularized least-squares (LS) approach (i.e., Lasso). This m…
Sequential adaptive elastic net approach for single-snapshot source localization
Muhammad Naveed Tabassum, Esa Ollila
This paper proposes efficient algorithms for accurate recovery of direction-of-arrival (DoA) of sources from single-snapshot measurements using compressed beamforming (CBF). In CBF…
Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies
Muhammad Naveed Tabassum, Esa Ollila
We propose a modification of linear discriminant analysis, referred to as compressive regularized discriminant analysis (CRDA), for analysis of high-dimensional datasets. CRDA is s…