Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach

DOI10.1109/TIT.2014.2346508zbMath1360.62267arXiv1304.3886MaRDI QIDQ2986118

Sebastian Schmutzhard, Alexander R. Jung, Franz Hlawatsch, Zvika Ben-Haim, Yonina C. Eldar

Publication date: 16 May 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1304.3886

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) General nonlinear regression (62J02) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)

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