DocumentCode
1216468
Title
Quantization
Author
Gersho, Allen
Author_Institution
Univ. of California, Santa Barbara, CA
Volume
15
Issue
5
fYear
1977
fDate
9/1/1977 12:00:00 AM
Firstpage
16
Lastpage
16
Abstract
Quantization is the process of replacing analog samples with approximate values taken from a finite set of allowed values. The approximate values corresponding to a sequence of analog samples can then be specified by a digital signal for transmission, storage, or other digital processing. In this expository paper, the basic ideas of uniform quantization, companding, robustness to input power level, and optimal quantization are reviewed and explained. The performance of various schemes is compared using the ratio of signal power to mean-square quantizing noise as a criterion. Entropy coding and the ultimate theoretical bound on block quantizer performance are also compared with the simpler zero-memory quantizer.
Keywords
Quantization (signal); Signal quantization; Availability; Bit rate; Communications Society; Delta modulation; Digital signal processing; H infinity control; Quantization; Sampling methods;
fLanguage
English
Journal_Title
Communications Society Magazine, IEEE
Publisher
ieee
ISSN
0148-9615
Type
jour
DOI
10.1109/MCOM.1977.1089500
Filename
1089500
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