Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Zhibao Li

dblp:30/10841 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 2018
—ORCID · conflict

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

Artificial intelligence and machine learning · 2 · 2 first-authorTheory of computation · 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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing
beamforming
0.212014
On the Indoor Beamformer Design With Reverberation · IEEE ACM Trans. Audio Speech Lang. Process. 2014
Audio and music processing › room acoustics
room impulse response modeling
0.112014
On the Indoor Beamformer Design With Reverberation · IEEE ACM Trans. Audio Speech Lang. Process. 2014

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

minimax optimization · 0.2l1-norm optimization · 0.2image source method · 0.2
YearPublicationVenuePosition
2018 Optimality analysis on partial l1 -minimization recovery
Zhibao Li, Kai Tu
J. Glob. Optim.3
2016 Beamformer configuration design in reverberant environments
Zhibao Li, Ka Fai Cedric Yiu
Eng. Appl. Artif. Intell.1
2014 On the Indoor Beamformer Design With Reverberation
abstract
Beamforming remains to be an important technique for signal enhancement. For applications in open space, the transfer function describing waves propagation has an explicit expression, which can be employed for beamformer design. However, the function becomes very complex in an indoor environment due to the effects of reverberation. In this paper, this problem is discussed. A method based on the image source method (ISM) is applied to model the room impulse responses (RIRs), which will act as the transfer function between source and sensor. The indoor beamformer design problem is formulated as a minimax optimization problem. We propose and study several optimization models based on the L1-norm to design the beamformer. We found that it is advantageous to separate early and late reverberations in the design process and better designs can be achieved. Several numerical experiments are presented using both simulated data and real recordings to evaluate the proposed methods.
Zhibao Li, Ka Fai Cedric Yiu, Sven Nordholm
IEEE ACM Trans. Audio Speech Lang. Process.1