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Blind system identification
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DOI：10.1109/5.622507.png)
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Abstract
En 中文
Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. This technology has a wide range of possible applications such as mobile communications, speech reverberation cancellation, and blind image restoration. This paper reviews a number of recently developed concepts and techniques for BSI, which include the concept of blind system identifiability in a deterministic framework, the blind techniques a maximum likelihood and subspace for estimating the system's impulse response, and other techniques for direct estimation of the system input.
Keywords:
blind techniques
equalization
multichannels
source separation
system identification
Journal
IF:
25.9
Papers:
9.9K
Citations:
4.5W
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Cited Papers
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ANNALS OF STATISTICS
OAAI
ANNALS OF STATISTICSIF3.7
OAAIShareSaveShareSaveShareSaveSPECTRAL SELF-COHERENCE RESTORAL - A NEW APPROACH TO BLIND ADAPTIVE SIGNAL EXTRACTION USING ANTENNA-ARRAYSPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
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