Sparse Sensing for Statistical Inference

By Sundeep Prabhakar Chepuri and Geert Leus

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.

• Format: Paperback
• Language: English
• ISBN: 1680832360
• ISBN13: 9781680832365
• Release Date: December 2016
• Publisher: Now Publishers
• Length: 172 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"