Blind System Identification - Proceedings of the IEEE
نویسندگان
چکیده
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 of maximum likelihood and subspace for estimating the system’s impulse response, and other techniques for direct estimation of the system input.
منابع مشابه
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A linear prediction-like algorithm for passive localization of near-field sources, [5] K. Abed Meraim and Y. Hua, " Blind identification of multi-input multi-output system using minimum noise subspace, " IEEE Trans. On subspace methods for blind identification of single-input multiple-output FIR systems, " IEEE Trans. Blind source separation using second order cyclostationary statistics, " IEEE...
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تاریخ انتشار 1997