Demo Data from EDBT 2026 / reviewers in the wild / expert
Dima Khaykin
dblp:13/9935
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
beamforming |
0.1 | 1 | 2011 | 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 |
0.1 | 1 | 2011 | Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker Arrays · IEEE Trans. Speech Audio Process. 2011 |
Audio and music processing
spatial audio |
0.0 | 1 | 2011 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Optimal Model-Based Beamforming and Independent Steering for Spherical Loudspeaker ArraysabstractSpherical 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 |