DocumentCode :
302795
Title :
Analysis of errors in quantization of Weyl-Heisenberg frame expansions and oversampled A/D conversion
Author :
Cvetkovic, Zoran
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA
Volume :
3
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
1435
Abstract :
Manifestations of robustness of overcomplete expansions, acquired as a result of the redundancy, have been observed for two primary sources of degradation: white additive noise and quantization. These two cases require different treatments since quantization error has a certain structure which is obscured by statistical analysis. The central issue of this paper is a deterministic approach to quantization error analysis, with a focus on redundant Weyl-Heisenberg expansions in L2(R). This analysis demonstrates that overcomplete expansions exhibit a higher degree of robustness to quantization error than to a white additive noise, and indicates how this additional robustness can be exploited for improvement of representation accuracy. Further, it shows that under reasonable assumptions quantization error in Weyl-Heisenberg frame expansions can be reduced as ||e||2 =O(1/r2), where r is the frame redundancy factor
Keywords :
error analysis; quantisation (signal); signal representation; signal sampling; white noise; Weyl-Heisenberg frame expansions; deterministic approach; frame redundancy factor; overcomplete expansions; oversampled A/D conversion; primary degradation sources; quantization error analysis; redundant Weyl-Heisenberg expansions; robustness; signal representation accuracy; white additive noise; Additive noise; Computer errors; Degradation; Error analysis; Image reconstruction; Noise reduction; Noise robustness; Quantization; Redundancy; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.543931
Filename :
543931
Link To Document :
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