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Lee, Ching-Hua Rao, Bhaskar D Garudadri, Harinath
Published in
Conference record. Asilomar Conference on Signals, Systems & Computers
In this paper, a novel way of deriving proportionate adaptive filters is proposed based on diversity measure minimization using the iterative reweighting techniques well-known in the sparse signal recovery (SSR) area. The resulting least mean square (LMS)-type and normalized LMS (NLMS)-type sparse adaptive filtering algorithms can incorporate vario...
Lee, Ching-Hua Rao, Bhaskar D Garudadri, Harinath
Published in
IEEE signal processing letters
In this letter, we propose a novel conjugate gradient (CG) adaptive filtering algorithm for online estimation of system responses that admit sparsity. Specifically, the Sparsity-promoting Conjugate Gradient (SCG) algorithm is developed based on iterative reweighting methods popular in the sparse signal recovery area. We propose an affine scaling tr...
Lee, Ching-Hua Fedorov, Igor Rao, Bhaskar D Garudadri, Harinath
Published in
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
While deep neural networks (DNNs) have achieved state-of-the-art results in many fields, they are typically over-parameterized. Parameter redundancy, in turn, leads to inefficiency. Sparse signal recovery (SSR) techniques, on the other hand, find compact solutions to overcomplete linear problems. Therefore, a logical step is to draw the connection ...
Shibzukhov, Z. M.
Published in
Automation and Remote Control
Abstract We propose a new approach to the construction of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k $$\end{document}-means clustering algorithms in which the Ma...
