Title :
Blind Deconvolution for SISO Systems
Author :
Tuncer, T. Engin
Author_Institution :
Elektrik-Elecktronik Muhendisligi Bolumu, ODTU, Ankara
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;
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659732