DocumentCode :
1221791
Title :
Fractional biorthogonal partners in channel equalization and signal interpolation
Author :
Vrcelj, Bojan ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
51
Issue :
7
fYear :
2003
fDate :
7/1/2003 12:00:00 AM
Firstpage :
1928
Lastpage :
1940
Abstract :
The concept of biorthogonal partners has been introduced recently by the authors. The work presented here is an extension of some of these results to the case where the upsampling and downsampling ratios are not integers but rational numbers, hence, the name fractional biorthogonal partners. The conditions for the existence of stable and of finite impulse response (FIR) fractional biorthogonal partners are derived. It is also shown that the FIR solutions (when they exist) are not unique. This property is further explored in one of the applications of fractional biorthogonal partners, namely, the fractionally spaced equalization in digital communications. The goal is to construct zero-forcing equalizers (ZFEs) that also combat the channel noise. The performance of these equalizers is assessed through computer simulations. Another application considered is the all-FIR interpolation technique with the minimum amount of oversampling required in the input signal. We also consider the extension of the least squares approximation problem to the setting of fractional biorthogonal partners.
Keywords :
FIR filters; equalisers; interference suppression; interpolation; least squares approximations; signal sampling; ZFEs; all-FIR interpolation technique; channel equalization; channel noise; digital communications; downsampling ratios; finite impulse response fractional biorthogonal partners; fractional biorthogonal partners; fractionally spaced equalization; least squares approximation; noise suppression; rational numbers; signal interpolation; stable fractional biorthogonal partners; upsampling ratios; zero-forcing equalizers; 1f noise; Application software; Biomedical signal processing; Computer simulation; Digital communication; Equalizers; Finite impulse response filter; Image reconstruction; Interpolation; Least squares approximation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.812844
Filename :
1206701
Link To Document :
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