DocumentCode
3003013
Title
Fractionally-spaced equalizers based on singular value decomposition
Author
Long, Guozhu ; Ling, Fuyun ; Proakis, John G.
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear
1988
fDate
11-14 Apr 1988
Firstpage
1514
Abstract
Investigation of the eigenstructure of the autocorrelation matrix of the received signal in a complex or real fractionally-spaced equalizer indicates that this matrix has a certain number of nontrivial eigenvalues. By using singular value decomposition, it is shown that the excess mean-square error in least-squares adaptive algorithms is proportional to the number of nontrivial eigenvalues, instead of the number of taps. This leads to methods for effectively reducing the misadjustment error
Keywords
eigenvalues and eigenfunctions; equalisers; signal processing; autocorrelation matrix; eigenstructure; excess mean-square error; fractionally-spaced equalizer; least-squares adaptive algorithms; nontrivial eigenvalues; singular value decomposition; Autocorrelation; Eigenvalues and eigenfunctions; Equalizers; Equations; Fading; Fourier transforms; Matrix decomposition; Mean square error methods; Sampling methods; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.196891
Filename
196891
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