Sparse Sensing for Statistical Inference
Seiten
2016
now publishers Inc (Verlag)
978-1-68083-236-5 (ISBN)
now publishers Inc (Verlag)
978-1-68083-236-5 (ISBN)
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Introduces and reviews Sparse Sensing, a technique that is proving to be an efficient and cost-effective method for data collection. The book provides the reader with a comprehensive overview of this technique and a framework that can be used in implementing the technique in practical sensing systems.
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.
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.
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
| Erscheinungsdatum | 21.12.2016 |
|---|---|
| Reihe/Serie | Foundations and Trends® in Signal Processing |
| Verlagsort | Hanover |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 251 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-68083-236-0 / 1680832360 |
| ISBN-13 | 978-1-68083-236-5 / 9781680832365 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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