DocumentCode :
2867589
Title :
Multi-channel signal reconstruction using noisy samples
Author :
Brown, John L., Jr. ; Cabrera, Sergio D.
Author_Institution :
Dept. of Electr. & Comp. Eng., Ohio Univ., Athens, OH, USA
fYear :
1990
fDate :
3-6 Apr 1990
Firstpage :
1233
Abstract :
The generalized multichannel sampling theorem of A. Papoulis (1977) assumes a bandlimited signal simultaneously processed by a bank of m linear time-invariant (LTI) prefilters; the filter outputs are then sampled and the original signal recovered from these samples by means of m LTI postfilters. Consideration is given to the stability (well-posedness) of the signal reconstruction with respect to additive noise perturbations of the sample values. It is shown that the reconstruction is stable if and only if the postfilter transfer functions are square integrable, thus proving a converse to the ill-posedness result K.F. Cheung and R.J. Marks (1985) while giving an alternative proof of their theorem
Keywords :
digital filters; random noise; signal processing; transfer functions; Cheung-Marks theorem; additive noise perturbations; bandlimited signal; generalized multichannel sampling theorem; linear time-invariant postfilters; multichannel signal reconstruction; postfilter transfer functions; well-posedness conditions; Additive noise; Equations; Fourier transforms; Frequency; Interpolation; Nonlinear filters; Sampling methods; Signal processing; Signal reconstruction; Signal sampling; Stability; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1990.115595
Filename :
115595
Link To Document :
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