Blind adaptive FRESH filtering for signal extraction

J. Zhang; K. M. Wong; Z. Q. Luo; P. C. Ching

doi:10.1109/78.757230

Blind adaptive FRESH filtering for signal extraction

J. Zhang, K. M. Wong, Z. Q. Luo, P. C. Ching

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

In this correspondence, a blind adaptive method called the BA-FRESH filtering technique is proposed and its convergence analyzed. The BA-FRESH filter does not require training signals nor knowledge of the statistics of the desired signal. It is capable of separating desired signals from spectrally overlapping interference by knowing only the cycle frequencies of the signals.

Original language	English (US)
Pages (from-to)	1397-1402
Number of pages	6
Journal	IEEE Transactions on Signal Processing
Volume	47
Issue number	5
DOIs	https://doi.org/10.1109/78.757230
State	Published - 1999

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title = "Blind adaptive FRESH filtering for signal extraction",

abstract = "In this correspondence, a blind adaptive method called the BA-FRESH filtering technique is proposed and its convergence analyzed. The BA-FRESH filter does not require training signals nor knowledge of the statistics of the desired signal. It is capable of separating desired signals from spectrally overlapping interference by knowing only the cycle frequencies of the signals.",

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AU - Zhang, J.

AU - Wong, K. M.

AU - Luo, Z. Q.

AU - Ching, P. C.

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AB - In this correspondence, a blind adaptive method called the BA-FRESH filtering technique is proposed and its convergence analyzed. The BA-FRESH filter does not require training signals nor knowledge of the statistics of the desired signal. It is capable of separating desired signals from spectrally overlapping interference by knowing only the cycle frequencies of the signals.

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JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

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Blind adaptive FRESH filtering for signal extraction

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