DocumentCode
2477296
Title
Transform Domain MMA
Author
Gholami, Mohammad Reza ; Nader-Esfahani, Said
Author_Institution
Sch. of Electr. & Comput. Eng., Tehran Univ.
fYear
0
fDate
0-0 0
Firstpage
921
Lastpage
925
Abstract
In this paper we consider the blind equalization in the transform domain. For blind equalization, multimodulus algorithm (MMA), which is known to be very efficient, is used. To improve the rate of convergence, we used the band-partitioning property of transform domain (TD). In fact, the TD causes the channel output samples to be uncorrelated and this increases the rate of convergence. Also, to further improve the rate of convergence, an optimal time variant step size is used. Simulation results are presented to show the fast convergence of the proposed blind equalizer
Keywords
blind equalisers; convergence; signal sampling; telecommunication channels; band-partitioning property; blind equalization; channel output sample; convergence rate; multimodulus algorithm; optimal time variant step size; transform domain MMA; Blind equalizers; Circuits; Convergence; Cost function; Discrete cosine transforms; Educational institutions; Eigenvalues and eigenfunctions; Fast Fourier transforms; Frequency; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location
Bangkok
Print_ISBN
0-7803-9283-3
Type
conf
DOI
10.1109/ICICS.2005.1689184
Filename
1689184
Link To Document