Compressed Sensing
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Abstract
Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and…
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Authors
13Topics & keywords
Keywords
- Computer science
- Notation
- Field (mathematics)
- Signal processing
- Data science
- Theoretical computer science
- Digital signal processing
- Artificial intelligence
UN Sustainable Development Goals
- Quality Education
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