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

Editore: Now Publishers, 2016

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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.

Codice articolo 098689-4

Dati bibliografici

• Titolo: 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
• Editore: Now Publishers
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1680832360
• ISBN 13: 9781680832365
• Rilegatura: Brossura
• Condizione: Very Good

Descrizione articolo

Riassunto

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.