DocumentCode
2304716
Title
Blind Deconvolution for SISO Systems
Author
Tuncer, T. Engin
Author_Institution
Elektrik-Elecktronik Muhendisligi Bolumu, ODTU, Ankara
fYear
2006
fDate
17-19 April 2006
Firstpage
1
Lastpage
4
Abstract
A deterministic solution is presented for the blind deconvolution of signals with symmetric or cyclic extensions. It is shown that nonlinear equations can be converted to a form where the input or the filter coefficients are found by using a closed form expression. This solution works for non-finite alphabet inputs in general. If the input is from a finite alphabet, the solution becomes significantly robust to noise in the samples. Proposed solution works independent from the input statistics and length and does not require any assumption on the input except the symmetric or cyclic extensions
Keywords
deconvolution; filtering theory; nonlinear equations; signal sampling; SISO system; blind deconvolution; filter coefficient; nonfinite alphabet; nonlinear equation; Deconvolution; Filters; Hydrogen; Noise robustness; Nonlinear equations; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location
Antalya
Print_ISBN
1-4244-0238-7
Type
conf
DOI
10.1109/SIU.2006.1659732
Filename
1659732
Link To Document