Title :
Bayesian techniques for deconvolution
Author :
Lee, Gen-kwo ; Gelfand, Saul B. ; Fitz, Michael P.
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
A new methodology to demodulate digital signals with intersymbol interference is proposed. The approach decouples the exponential complexity from both the filtering lag and the channel length, which is present in other high performance demodulators
Keywords :
Bayes methods; computational complexity; deconvolution; demodulation; digital signals; filtering theory; intersymbol interference; telecommunication channels; Bayesian techniques; channel length; deconvolution; demodulation; digital signals; exponential complexity; filtering lag; intersymbol interference; Bayesian methods; Constellation diagram; Deconvolution; Demodulation; Digital communication; Digital filters; Feedback; Filtering algorithms; Intersymbol interference; State estimation;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394844
