Sparsity Methods for Systems and Control

Sparsity Methods for Systems and Control

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The method of sparsity has been attracting a lot of attention in the fields related not only to signal processing, machine learning, and statistics, but also systems and control. The method is known as compressed sensing, compressive sampling, sparse representation, or sparse modeling. More recently...

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Bibliographic Details
Main Author: Nagahara, Masaaki (auth)
Format: Electronic Book Chapter
Language:English
Published: Norwell, MA Now Publishers 2020
Series:NowOpen
Subjects:
Artificial intelligence
Compressed sensing, optimal control, sparse representation, convex optimization, proximal algorithms, greedy algorithms, networked control, model predictive control
Online Access:DOAB: download the publication
DOAB: description of the publication
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