Title :
On frequency-domain implementations of filtered-gradient blind deconvolution algorithms
Author :
Joho, Marcel ; Schniter, Philip
Author_Institution :
Phonak Inc, Champaign, IL, USA
Abstract :
This paper describes an efficient realization of an adaptive single-channel blind deconvolution algorithm. The algorithm uses fast convolution and correlation techniques, operates mainly in the frequency domain, and the adaptation of the deconvolution filter is based on the natural gradient learning algorithm. The proposed algorithm is compared to other methods via computational complexity analysis and simulations.
Keywords :
adaptive filters; convolution; correlation methods; deconvolution; gradient methods; adaptive filter; adaptive single-channel blind deconvolution; computational complexity analysis; convolution; correlation; filtered-gradient blind deconvolution; frequency-domain implementations; natural gradient learning algorithm; simulations; Adaptive algorithm; Adaptive filters; Additive noise; Blind equalizers; Convolution; Deconvolution; Delay estimation; Finite impulse response filter; Sensor phenomena and characterization; Time domain analysis;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197057
