Sparse Sensing for Statistical Inference (Foundations and Trends(r) in Signal Processing)

Chepuri, Sundeep Prabhakar, Leus, Geert

ISBN 10: 1680832360 / ISBN 13: 9781680832365

Published by Now Publishers, 2016

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Bibliographic Details

• Title: Sparse Sensing for Statistical Inference (Foundations and Trends(r) in Signal Processing)
• Publisher: Now Publishers
• Publication Date: 2016
• Language: English
• ISBN 10: 1680832360
• ISBN 13: 9781680832365
• Binding: paperback
• Condition: Like New
• Book Type: book

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Synopsis

Sensors are becoming increasingly omnipresent throughout society. These sensors generate a billion gigabytes of data every day. With the availability of immense computing power at central locations, the local storage and transmission of the data to a central location becomes the bottleneck in the real-time processing of the mass of data. Recently compressed sensing has emerged as a technique to alleviate these problems, but much of the data is blindly discarded without being examined to achieve acceptable throughput rates. Sparse Sensing for Statistical Inference introduces and reviews a new technique called Sparse Sensing that reduces the amount of data that must be collected to start with, proving an efficient and cost-effective method for data collection. This monograph provides the reader with a comprehensive overview of this technique and a framework that can be used by researchers and engineers in implementing the technique in practical sensing systems.