Title :
Poly-phase based blind deconvolution technique using second-order statistics
Author :
Ochi, Hiroshi ; Oshiro, Mirai
Author_Institution :
Dept. of Inf. Eng., Ryukyus Univ., Okinawa, Japan
Abstract :
A novel second-order statistics-based blind deconvolution and equalizer technique is proposed. This technique makes use of a two-channel perfect reconstruction filter bank derived from a two-component polyphase decomposition of the transmission channel in order to make exact system identifications possible. The proposed blind deconvolution algorithm is superior to conventional algorithms in view of the simple structure and the uniqueness of the solution. In order to verify the effectiveness of this method, several computer simulations including a 256 QAM signal equalizer and a blurred image recovery have been shown
Keywords :
adaptive equalisers; band-pass filters; deconvolution; filtering theory; identification; image restoration; quadrature amplitude modulation; signal reconstruction; statistical analysis; 256 QAM signal equalizer; blind adaptive equalization; blind deconvolution algorithm; blurred image recovery; computer simulations; image restoration; poly-phase based blind deconvolution; second-order statistics; system identification; transmission channel; two-channel perfect reconstruction filter bank; two-component polyphase decomposition; Blind equalizers; Computational complexity; Computer architecture; Computer simulation; Convergence; Data communication; Deconvolution; Quadrature amplitude modulation; Statistics; Transfer functions;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681821
