Andre Brind'amour

dblp:125/1337 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1989
—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 networks
1 paper
Physical-layer communications · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications
channel coding
0.011989
Error correction/masking for digital voice transmission over the land mobile satellite system · IEEE Trans. Commun. 1989
Physical-layer communications › channel coding
error correction
0.011989
Error correction/masking for digital voice transmission over the land mobile satellite system · IEEE Trans. Commun. 1989
Audio and music processing
speech coding
0.011989
Error correction/masking for digital voice transmission over the land mobile satellite system · IEEE Trans. Commun. 1989
Audio and music processing › speech coding
vocoder
0.011989
Error correction/masking for digital voice transmission over the land mobile satellite system · IEEE Trans. Commun. 1989

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

linear prediction · 0.0fire code · 0.0
YearPublicationVenuePosition
1989 Error correction/masking for digital voice transmission over the land mobile satellite system
abstract
The development of a 2400-b/s speech digitizer which provides an acceptable level of intelligibility and quality over land mobile satellite channels is described. Performance tests over simulated channels in the UHF band (800 MHz) are presented. The voice digitizer is a linear prediction (LPC) vocoder which uses a channel error correction and concealment procedure tailored to error statistics for a minimum-shift keyed (MSK) downlink to a moving vehicle. The error-handling technique is based on perceptual criteria and utilizes the parametric nature of LPC representation of speech. A single-error-correcting, single-burst-detecting (28, 20) fire code is shown to be the best choice for the application. The intelligibility of the vocoder is measured and compared to the standard LPC-10 algorithm. The major remaining sources of speech quality degradation due to channel errors are determined and ranked.>
Brian Bryden, Gérald E. Séguin, Jean Conan, Vijay K. Bhargava, Andre Brind'amour
IEEE Trans. Commun.5