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S. A. Christensen

dblp:272/2230 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1978
—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%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › quantization
adaptive quantization		 0.011978
Tree-Encoding of Speech Using the (M, L)-Algorithm and Adaptive Quantization · IEEE Trans. Commun. 1978
Audio and music processing
speech coding		 0.011978
Tree-Encoding of Speech Using the (M, L)-Algorithm and Adaptive Quantization · IEEE Trans. Commun. 1978
Image and video coding
tree coding		 0.011978
Tree-Encoding of Speech Using the (M, L)-Algorithm and Adaptive Quantization · IEEE Trans. Commun. 1978

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

adaptive differential PCM · 0.0adaptive delta modulation · 0.0(m,l)-algorithm · 0.0
YearPublicationVenuePosition
1978 Tree-Encoding of Speech Using the (M, L)-Algorithm and Adaptive Quantization
abstract
This paper shows the utility of using adaptive quantizers in the tree-encoding of speech waveforms based on the (M, L) algorithm [1]. Resulting adaptive differential PCM (ADPCM) and adaptive delta modulation (ADM) encoders, with time-invariant prediction networks, can provide useful speech outputs at bit rates in the order of 24 kbits/s; at 16 kbits/s, on the other hand, the encoders exhibit clearly perceptible amounts of quantization noise.
Nikil Jayant, S. A. Christensen
 IEEE Trans. Commun.2