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Christopher S. Withers

dblp:54/1425 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0003-0694-1883ORCID · verified

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

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
Audio and music processing · 50% Image and video processing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
regularization		 0.112012
Sound Field Reproduction With Energy Constraint on Loudspeaker Weights · IEEE Trans. Speech Audio Process. 2012
Audio and music processing › spatial audio
sound field reproduction		 0.112012
Sound Field Reproduction With Energy Constraint on Loudspeaker Weights · IEEE Trans. Speech Audio Process. 2012

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

tikhonov regularization · 0.1energy constraint · 0.1
YearPublicationVenuePosition
2014 Negentropy as a function of cumulants
Christopher S. Withers, Saralees Nadarajah
 Inf. Sci.1
2012 Sound Field Reproduction With Energy Constraint on Loudspeaker Weights
abstract
Audio rendering problems are not always well-posed. An approach is devised for solving ill-posed sound field reproduction problems using regularization, where the Tikhonov parameter is chosen by upper bounding the summed square of the loudspeaker weights. The method ensures that the sound in the room remains at reasonable levels.
Terence Betlehem, Christopher S. Withers
 IEEE Trans. Speech Audio Process.2
2011 The distribution of the sample correlation from a complex normal
Christopher S. Withers, Saralees Nadarajah
 Signal Process.1