DocumentCode
3426186
Title
On frequency-domain implementations of filtered-gradient blind deconvolution algorithms
Author
Joho, Marcel ; Schniter, Philip
Author_Institution
Phonak Inc, Champaign, IL, USA
Volume
2
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
1653
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197057
Filename
1197057
Link To Document