Title :
Weighted least-squares blind deconvolution
Author :
Fiori, Simone ; Piazza, Francesco
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
Abstract :
This paper presents a new cost function for blind deconvolution of non-minimum phase systems. The proposed criterion arises as a natural consequence of a fundamental theorem proved by Benveniste, Goursat and Ruget (1980), and appears to be the weighted square of the difference among two spectra, thus its minimization leads to a weighted least-squares blind deconvolution technique. In order to assess the new theory some simulation results both on ideal (noiseless) and noisy channels are presented
Keywords :
blind equalisers; deconvolution; filtering theory; least squares approximations; spectral analysis; telecommunication channels; blind equalization; characteristic functions; cost function; equalizing filter output; ideal noiseless channels; noisy channels; nonminimum phase systems; simulation results; source signal; spectra; weighted least-squares blind deconvolution; Additive noise; Cost function; Crosstalk; Deconvolution; Delay; Digital systems; Finite impulse response filter; Nonlinear filters; Sampling methods; Transversal filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.760640
