Sparse Sensing for Statistical Inference

1. Auflage 2016
ISBN: 978-1-68083-236-5
Verlag: Now Publishers

Buch, Englisch, Band 25, 158 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Foundations and Trends® in Signal Processing

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.

Autoren/Hrsg.

Chepuri, Sundeep Prabhakar

Leus, Geert

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

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