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Dima Khaykin

dblp:13/9935 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 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
Audio and music processing · 100%

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

TopicWeightPapersLastEvidence papers
Audio and music processing
beamforming
0.112011
Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker Arrays · IEEE Trans. Speech Audio Process. 2011
Audio and music processing › spatial audio
loudspeaker array processing
0.112011
Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker Arrays · IEEE Trans. Speech Audio Process. 2011
Audio and music processing
spatial audio
0.012011
Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker Arrays · IEEE Trans. Speech Audio Process. 2011

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

spherical harmonics · 0.1beamforming weight optimization · 0.1
YearPublicationVenuePosition
2011 Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker Arrays
abstract
Spherical loudspeaker arrays have been recently studied for directional sound radiation, where the compact arrangement of the loudspeaker units around a sphere facilitated the control of sound radiation in three-dimensional space. Directivity of sound radiation, or beamforming, was achieved by driving each loudspeaker unit independently, where the design of beamforming weights was typically achieved by numerical optimization with reference to a given desired beam pattern. This is in contrast to the methods already developed for microphone arrays in general and spherical microphone arrays in particular, where beamformer weights are designed to satisfy a wider range of objectives, related to directivity, robustness, and side-lobe level, for example. This paper presents the development of a physical-model-based, optimal beamforming framework for spherical loudspeaker arrays, similar to the framework already developed for spherical microphone arrays, facilitating efficient beamforming in the spherical harmonics domain, with independent steering. In particular, it is shown that from a beamforming perspective, the spherical loudspeaker array is similar to the spherical microphone array with microphones arranged around a rigid sphere. Experimental investigation validates the theoretical framework of beamformer design.
Boaz Rafaely, Dima Khaykin
IEEE Trans. Speech Audio Process.2