Blind Identification of Sparse Systems Using Symbolic Dynamics Encoding

IEEE Communications Letters（2021）

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摘要

The unique properties of chaotic signals have led to their application in improving blind system identification performance. However, the role of chaos in blind identification of a sparse system has not been investigated. In this letter, we apply symbolic dynamics to encode a random signal to reap the benefits of chaos in improving blind identification of a sparse Moving Average (MA) system. We de...

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关键词

Chaotic communication,Estimation,Encoding,Noise measurement,Neurons,Machine learning,MIMICs

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