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Cognitive Radio Interference Modeling and Application on Fading Channels Read chapter Read first chapter

2015 | OriginalPaper | Chapter

26. Big Data Stream Anomaly Detection with Spectral Method for UWB Radar Data

Authors : Ying Yun, Wei Wang

Published in: The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Publisher: Springer International Publishing

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Abstract

Different from the traditional static data anomaly detection, the subjects of big data stream anomaly detection has been attracting extensive attention. Through wall human being detection with UWB radar has become popular recently due to its many merits. And it is a typical big data stream mining problem when detected human being in real time. In this paper, we proposed a statistical algorithm based on spectral method for big data stream anomaly detection. The through brick wall human detection experiment was designed and the results showed that the proposed method could detect the human being with high confidence level.

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previous chapter Analysis of Angular Accuracy of Amplitude Comparison Mono-Pulse Angle Measurement for MIMO Radar
next chapter An Autofocus Technique for Sub-aperture Processing of Video-SAR
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Metadata
Title
Big Data Stream Anomaly Detection with Spectral Method for UWB Radar Data
Authors
Ying Yun
Wei Wang
Copyright Year
2015
Book
The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems

Print ISBN: 978-3-319-08990-4

Electronic ISBN: 978-3-319-08991-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-08991-1_26