Compressed Sensing Approach to Systems and Control

Dublin Core

Title

Compressed Sensing Approach to Systems and Control

Creator

Masaaki Nagahara

Description

Compressed sensing, also known as sparse representation or sparse modeling, has experienced substantial growth in research fields such as signal processing, machine learning, and statistics. In recent years, this powerful tool has been successfully applied to the design of control systems.

This book provides a comprehensive guide to compressed sensing-based techniques, focusing primarily on their application to systems and control. This book is intended for graduate students and researchers who already have a foundational understanding of basic calculus and linear algebra. Its primary objective is to equip readers with the practical skills to apply compressed sensing techniques to a range of engineering problems, with a particular emphasis on systems and control. It presents a comprehensive collection of efficient algorithms for addressing the problems discussed in the text. Moreover, the book includes accompanying Python programs, which enable readers to actively experiment with these algorithms first-hand. By engaging with these practical examples, readers will develop a deeper understanding of compressed sensing techniques and their applications to systems and control.

Subject

Hardware and IoT

Publisher

Now Publishers

Date

2025

Format

PDF

Rights

This book is available under a Creative Commons Attribution-NonCommercial license (CC BY-NC), which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don't use it for commercial purposes.

Language

English

Type

Text

Identifier

ISBN-13: 9781638285052