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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.
| Autorius: | Sundeep Prabhakar Chepuri, Geert Leus, |
| Leidėjas: | Now Publishers Inc |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 172 |
| ISBN-10: | 1680832360 |
| ISBN-13: | 9781680832365 |
| Formatas: | 234 x 156 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
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