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• W1598601096 abstract "The present paper deals with the blind deconvolution of an Multiple-Input Multiple-Output Finite Impulse Response (MIMO-FIR) system. To deal with the blind deconvolution problem using the second-order statistics (SOS) of the outputs, Hua and Tugnait (2000) considered it under the conditions that a) the FIR system is irreducible and b) the input signals are spatially uncorrelated and have distinct power spectra. In the present paper, the problem is considered under a weaker condition than the condition a). Namely, we assume that c) the FIR system is equalizable by means of the SOS of the outputs. Under b) and c), we show that the system can be blindly identified up to a permutation, a scaling, and a delay using the SOS of the outputs. Moreover, based on this identifiability, we show a novel necessary and sufficiently condition for solving the blind deconvolution problem, and then, based on the condition, we propose a new algorithm for finding an equalizer using the SOS of the outputs." @default.
• W1598601096 created "2016-06-24" @default.
• W1598601096 creator A5003284969 @default.
• W1598601096 creator A5091853579 @default.
• W1598601096 date "2003-11-21" @default.
• W1598601096 modified "2023-09-26" @default.
• W1598601096 title "Blind deconvolution of MIMO-FIR channels driven by colored inputs using second-order statistics" @default.
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• W1598601096 doi "https://doi.org/10.1109/iscas.2003.1204952" @default.
• W1598601096 hasPublicationYear "2003" @default.
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