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Bibliografische Details

Titel

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

Verlag

Now Publishers

Erscheinungsjahr

2016

Sprache

Englisch

ISBN-10

1680832360

ISBN-13

9781680832365

Einband

Softcover

Zustand

Very Good

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Inhaltsangabe

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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