Compressive Sensing for Wireless Communication

Challenges and Opportunities

Radha Sankararajan, Hemalatha Rajendran, Aasha Nandhini Sukumaran

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English

River Publishers
25 September 2016

Communications engineering & telecommunications; WAP networking & applications; Signal processing; Image processing

Series: River Publishers Series in Communications

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides:• A clear insight into the basics of compressed sensing• A thorough exploration of applying CS to audio, image and computer vision• Different dimensions of applying CS in Cognitive radio networks• CS in wireless sensor network for spatial compression and projection• Real world problems/projects that can be implemented and tested• Efficient methods to sample and reconstruct the images in resource constrained WMSN environmentThis book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.

By: Radha Sankararajan, Hemalatha Rajendran, Aasha Nandhini Sukumaran
Imprint: River Publishers
Country of Publication: Denmark
Dimensions: Height: 234mm, Width: 156mm, Spine: 27mm
Weight: 862g
ISBN: 9788793379855
ISBN 10: 8793379854
Series: River Publishers Series in Communications
Pages: 494
Publication Date: 25 September 2016
Audience: College/higher education , Professional and scholarly , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Compressive Sensing for Wireless Communication

Radha Sankararajan, Hemalatha Rajendran, Aasha Nandhini Sukumaran