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Sparse Sensing for Statistical Inference (Paperback) Loot Price: R2,351
Discovery Miles 23 510
Sparse Sensing for Statistical Inference (Paperback): Sundeep Prabhakar Chepuri, Geert Leus

Sparse Sensing for Statistical Inference (Paperback)

Sundeep Prabhakar Chepuri, Geert Leus

Series: Foundations and Trends (R) in Signal Processing

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Loot Price R2,351 Discovery Miles 23 510 | Repayment Terms: R220 pm x 12*

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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
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LSN: 1-68083-236-0
Barcode: 9781680832365

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