DocumentCode
915754
Title
Bounds on subjective performance measures for source encoding systems
Author
Neal, John B O, Jr.
Volume
17
Issue
3
fYear
1971
fDate
5/1/1971 12:00:00 AM
Firstpage
224
Lastpage
231
Abstract
Quantizing noise is present whenever analog information is encoded into digital form suitable as an input to any digital system such as a computer or digital transmission line. The subjective impairment caused by this noise is frequently measured by the ratio of signal power to frequency-weighted quantizing noise power
. An upper bound on
is found such that source encoding systems will always have values of
less than this bound. The bound has the form (in decibels)
, where
is a constant that depends on the hit rate of the signal,
depends on the redundancy (or predictability) of the signal, and
depends on subjective considerations (as embodied in a subjectively determined frequency-weighting function). The bound is applied to source encoding systems for speech and television signals. By using the frequency-weighting function, bounds on commonly used measures of subjective impairments are possible.
. An upper bound on
is found such that source encoding systems will always have values of
less than this bound. The bound has the form (in decibels)
, where
is a constant that depends on the hit rate of the signal,
depends on the redundancy (or predictability) of the signal, and
depends on subjective considerations (as embodied in a subjectively determined frequency-weighting function). The bound is applied to source encoding systems for speech and television signals. By using the frequency-weighting function, bounds on commonly used measures of subjective impairments are possible.Keywords
Image coding; Quantization (signal); Rate-distortion theory; Signal quantization; Source coding; Speech coding; Analog computers; Digital systems; Encoding; Frequency measurement; Noise measurement; Power measurement; Power transmission lines; Signal to noise ratio; Transmission line measurements; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1971.1054641
Filename
1054641
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