Optimal generalized sampling expansion

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 erro...

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Bibliographic Details
Main Authors: Seidner, D., Feder, M.
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Band pass filters
Ear
Equalizers
Fourier transforms
Nonlinear filters
Quantization
Sampling methods
Signal generators
Sufficient conditions
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Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1999.756304