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Compressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in el...

Convex Optimization in Signal Processing and Communications

Over the past two decades there have been significant advances in the field of optimization. In p...

Sampling Theory

Covering the fundamental mathematical underpinnings together with key principles and applications...

Sampling Theory

Covering the fundamental mathematical underpinnings together with key principles and applications...

Compressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in el...

Compressed Sensing in Radar Signal Processing

Learn about the most recent theoretical and practical advances in radar signal processing using t...

Information-Theoretic Methods in Data Science

Learn about the state-of-the-art at the interface between information theory and data science wit...

Machine Learning and Wireless Communications

How can machine learning help the design of future communication networks - and how can future ne...

Artificial Intelligence in Covid-19

This book deals with the advantages of using artificial intelligence (AI) in the fight against th...

Integrated Sensing and Communications

The coming generations of wireless network technologies will serve, not only as a means of connec...

Deep Learning for Biomedical Image Reconstruction

Machine Learning and Wireless Communications

Written by an expert who has spent 40 years treating couples who had fertility challenges, this b...