DocumentCode
2621187
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
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
131
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394844
Filename
394844
Link To Document