Sparse Sensing for Statistical Inference (Foundations and Trends (R) in Signal Processing): 25 (Foundations and Trends® in Signal Processing) [Paperback] Chepuri, Sundeep Prabhakar and Leus, Geert

Chepuri, Sundeep Prabhakar; Leus, Geert

ISBN 10: 1680832360 / ISBN 13: 9781680832365

Published by Now Publishers, 2016

About this Item

Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, book content is in like new condition.

Seller Inventory # 098689-4

Bibliographic Details

• Title: Sparse Sensing for Statistical Inference (Foundations and Trends (R) in Signal Processing): 25 (Foundations and Trends® in Signal Processing) [Paperback] Chepuri, Sundeep Prabhakar and Leus, Geert
• Publisher: Now Publishers
• Publication Date: 2016
• Language: English
• ISBN 10: 1680832360
• ISBN 13: 9781680832365
• Binding: Soft cover
• Condition: Very Good

About this title

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.