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
Link To Document :
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