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Application of Chaos in Weak Signal Detection

Authors: Nie Chunyan; Wang Zhuwen;

Application of Chaos in Weak Signal Detection

Abstract

Chaos theory has extensive applications in many fields, and the research on this technique has important theory and practice value, which especially more and more demonstrates its superiority in the weak signal detection. In this paper, application methods of chaos in weak signal detection are instructed. The restraint nonlinear programming method combined optimization algorithm with chaos detection method to detect unknown frequency. Mixed methods about cross-correlation with chaos theory was studied. Properties of chaotic signal were ananlyzed and so on. The methods about detecting weak signal based on chaos theory are novel and completely different signal processing methods compared with the traditional time domain detecting methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
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