Title
Acoustic Source Localization Based on Geometric Projection in Reverberant and Noisy Environments.
Abstract
Acoustic source localization (ASL) is a fundamental yet still challenging signal processing problem in sound acquisition, speech communication, and human-machine interfaces. Many ASL algorithms have been developed, such as the steered response power (SRP), the SRP-phase transform, the minimum variance distortionless response, the multiple signal classification (MUSIC), the householder transform-ba...
Year
DOI
Venue
2019
10.1109/JSTSP.2018.2885410
IEEE Journal of Selected Topics in Signal Processing
Keywords
Field
DocType
Signal processing algorithms,Microphones,Acoustics,Frequency-domain analysis,Transforms,Cost function,Narrowband
Frequency domain,Signal processing,Minimum-variance unbiased estimator,Computer vision,Focal point,Narrowband,Computer science,Algorithm,Equivalence (measure theory),Artificial intelligence,Snapshot (computer storage),Acoustic source localization
Journal
Volume
Issue
ISSN
13
1
1932-4553
Citations 
PageRank 
References 
2
0.37
0
Authors
5
Name
Order
Citations
PageRank
Tao Long191.64
Jingdong Chen21460128.79
Gongping Huang37613.39
Jacob Benesty41386136.42
Israel Cohen5202.88