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Avital Kleiman

dblp:306/2576 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-9670-0014ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

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

TopicWeightPapersLastEvidence papers
Audio and music processing
beamforming
0.612022
Constant-Beamwidth Beamforming With Nonuniform Concentric Ring Arrays · IEEE ACM Trans. Audio Speech Lang. Process. 2022
Audio and music processing
microphone array processing
0.612022
Constant-Beamwidth Beamforming With Nonuniform Concentric Ring Arrays · IEEE ACM Trans. Audio Speech Lang. Process. 2022

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

directivity factor maximization · 0.6convex optimization · 0.6
YearPublicationVenuePosition
2022 Constant-Beamwidth Beamforming With Nonuniform Concentric Ring Arrays
abstract
Solutions for frequency-invariant beamforming with concentric circular arrays are used in many applications, including microphone arrays and audio communication. However, existing methods focus on the azimuth-beamwidth and consider uniformly spaced circular arrays. This paper presents an approach to designing a constant elevation-beamwidth beamformer for nonuniform concentric ring arrays. The suggested beamformer aims to maximize the array directivity factor while maintaining fixed beamwidth over a wide range of frequencies. The introduced methodology simultaneously selects the ring placements and designs the beamformer weights that achieve optimal performance. We present the problem constraints and cost function, resulting in a sparse beamformer design. In addition, a uniformly spaced beamformer is incorporated into the optimization cost function to attain improved performance. Time-domain implementation of the ideal beamformer is also presented in this work. Furthermore, in the proposed array configuration, all sensors on each ring share the same weight value. Thus, the computational complexity and the physical hardware required in a physical setup are significantly reduced. Experimental results demonstrate the advantages of the nonuniform beamformer compared to a uniform beamformer in terms of directivity index, white noise gain, and sidelobe attenuation.
Avital Kleiman, Israel Cohen, Baruch Berdugo
IEEE ACM Trans. Audio Speech Lang. Process.1