Sparse Approximation Methods For Wireless Sensor Networks

This book will give readers a good grip on sparse approximation methods, especially compressive sensing. It explains the potential of compressive sensing in wireless sensor networks in light of three interesting applications. The results shown in the book are first derived analytically then supported by extensive empirical evaluations. This book can be a excellent guideline for both researchers and engineers, intended to apply compressive sensing in the field of wireless sensor network.

Autorentext

Rajib Rana has completed his PhD from University of New South Wales, Australia. He is working as a post-doctoral research scientist in the Pervasive Computing group in CSIRO, ICT centre, Australia. His research interests include, pervasive health care, cyber physical systems, machine learning and computer vision.