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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Signal processing

• Plný název: Sparse Sensing for Statistical Inference
• Autor: Sundeep Prabhakar Chepuri, Geert Leus
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 172
• EAN: 9781680832365
• ISBN: 1680832360
• ID: 15607415
• Nakladatelství: now publishers Inc
• Hmotnost: 266 g
• Rozměry: 157 × 301 × 2 mm
• Datum vydání: 14. December 2016

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