Brian W. Schoenherr

dblp:271/1690 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none

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

Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 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 · 75% Audio and music processing · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › transform coding
adaptive transform coding
0.011982
An Approach to the Implementation of a Discrete Cosine Transform · IEEE Trans. Commun. 1982
Image and video coding › transform coding
discrete cosine transform
0.011982
An Approach to the Implementation of a Discrete Cosine Transform · IEEE Trans. Commun. 1982
Audio and music processing
speech coding
0.011982
An Approach to the Implementation of a Discrete Cosine Transform · IEEE Trans. Commun. 1982
Image and video coding
transform coding
0.011982
An Approach to the Implementation of a Discrete Cosine Transform · IEEE Trans. Commun. 1982

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

computer simulation · 0.0
YearPublicationVenuePosition
1985 Subband coding with silence detection
abstract
A silence detection algorithm combined with subband coding is described. Information from each subbend is combained to determine whether speech or silence is present. This algorithm has been implemented for both two-band and five-band subband coders, and real-time system have been demonstrated using the DSP microcomputer to encode and decode speech. Results have shown that the silent intervals can be removed with almost no effect on the speech sounds.
Marc B. DonVito, Brian W. Schoenherr
ICASSP2
1982 An Approach to the Implementation of a Discrete Cosine Transform
abstract
An approach to the implementation of a discrete cosine transform (DCT) for application to coding speech is described. The approach is oriented toward single speech channel encoding. In addition, a detailed computer simulation of an adaptive transform coder is described. The purpose of the computer simulation is to determine the internal precision at various points in the implementation required to avoid subjective degradation. Specific recommmendations are made on the required internal precision in the implementation of the discrete cosine transform. A breadboard implementation of the DCT using SSI and MSI TTL logic based on the results of the computer simulation is reported.
Guido Bertocci, Brian W. Schoenherr, David G. Messerschmitt
IEEE Trans. Commun.2