Sparse Sensing for Statistical Inference (Paperback)

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.

General

Imprint:	Now Publishers Inc
Country of origin:	United States
Series:	Foundations and Trends (R) in Signal Processing
Release date:	December 2016
First published:	2016
Authors:	Sundeep Prabhakar Chepuri • Geert Leus
Dimensions:	234 x 156 x 9mm (L x W x T)
Format:	Paperback
Pages:	172
ISBN-13:	978-1-68083-236-5
Categories:	Books > Computing & IT > Applications of computing > Signal processing Promotions
LSN:	1-68083-236-0
Barcode:	9781680832365

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