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.

N� de ref. del art�culo 098689-4

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Detalles bibliogr�ficos

T�tulo

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

Editor

Now Publishers

Fecha de publicaci�n

2016

Idioma

Ingl�s

ISBN 10

1680832360

ISBN 13

9781680832365

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Very Good

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Sinopsis

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.

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