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T. H. Glisson

dblp:272/8117 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1972
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video coding · 67% Audio and music processing · 33%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding
pulse-code modulation		 0.011972
Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems · IEEE Trans. Commun. 1972
Image and video coding
quantization		 0.011972
Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems · IEEE Trans. Commun. 1972
Audio and music processing
speech coding		 0.011972
Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems · IEEE Trans. Commun. 1972
Coding theory › source coding › quantization › optimal quantization
mean-squared-error quantization		 0.011972
Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems · IEEE Trans. Commun. 1972
Coding theory › source coding
rate-distortion theory		 0.011972
Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems · IEEE Trans. Commun. 1972

Methods — techniques the papers use, named apart from their topics

minimum mean-squared-error quantization · 0.0
YearPublicationVenuePosition
1972 Minimum Mean-Squared-Error Quantization in Speech PCM and DPCM Systems
abstract
The optimum (minimum mean-squared-error) and optimum uniform quantizing characteristics for Laplacian- and gamma-distributed signals are given in tabular form. The performance of these quantizers in real speech pulse-code modulation (PCM) and differential pulse-code modulation (DPCM) systems is investigated and compared with that obtained when the μ-law quantizing characteristic is used.
M. D. Paez, T. H. Glisson
 IEEE Trans. Commun.2