Sparse Sensing for Statistical Inference (Foundations and Trends® in Signal Processing)

Chepuri, Sundeep Prabhakar/ Leus, Geert

now publishers Inc（2016/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 172 p.
• 言語 ENG
• 商品コード 9781680832365

Full Description

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.

Contents

1 Introduction
2 Sparse Sensing
3 Sparse Sensing for Estimation
4 Sparse Sensing for Filtering
5 Sparse Sensing for Detection
6 Continuous Sparse Sensing
7 Outlook
References