Optimal generalized sampling expansion

Author

Seidner, Daniel ; Feder, Meir

Author_Institution

Dept. of Electr. Eng., Tel Aviv Univ., Israel

Volume

3

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1637

Abstract

This work presents an analysis of Papoulis´ (1977) generalized sampling expansion (GSE) for a wide-sense stationary signal with a known power spectrum in the presence of quantization noise. We find the necessary and sufficient conditions for a GSE system to produce the minimum mean squared error while using the optimal linear estimation filter. This is actually an extension of the optimal linear equalizer (linear source/channel optimization) to the case of M parallel channels

Keywords

bandlimited signals; digital filters; equalisers; least mean squares methods; optimisation; signal sampling; white noise; M parallel channels; linear source/channel optimization; minimum mean squared error; optimal generalized sampling expansion; optimal linear equalizer; optimal linear estimation filter; power spectrum; quantization nois; wide-sense stationary signal; Additive noise; Band pass filters; Ear; Equalizers; Fourier transforms; Nonlinear filters; Quantization; Sampling methods; Signal generators; Sufficient conditions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.756304

Filename

756304