Decoupled Independent Vector Analysis Algorithm for Convolutive Blind Source Separation without Orthogonality Constraint on the Demixing Matrices
Joint Authors
Zhang, Hang
Li, Jiong
Wang, Pengfei
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In this paper, we consider the problem of convolutive blind source separation in frequency domain and introduce a solution to the problem in an independent vector analysis (IVA) framework.
IVA utilizes both the statistical independence of different sources in each frequency bin and the statistical dependence of the same source in different frequency bins.
However, most of previous works impose orthogonality constraint on the rows of each separation matrix which may undermine the separation performance.
In this work, we propose a nonorthogonal IVA algorithm based on decoupled relative Newton method.
This proposed algorithm updates the separation matrices row by row, and unlike deflation separation algorithm, there is no separation error accumulation arising.
Simulation results are provided to show the superior convergence behavior and separation performance of the proposed algorithm.
American Psychological Association (APA)
Wang, Pengfei& Li, Jiong& Zhang, Hang. 2018. Decoupled Independent Vector Analysis Algorithm for Convolutive Blind Source Separation without Orthogonality Constraint on the Demixing Matrices. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1209858
Modern Language Association (MLA)
Wang, Pengfei…[et al.]. Decoupled Independent Vector Analysis Algorithm for Convolutive Blind Source Separation without Orthogonality Constraint on the Demixing Matrices. Mathematical Problems in Engineering No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1209858
American Medical Association (AMA)
Wang, Pengfei& Li, Jiong& Zhang, Hang. Decoupled Independent Vector Analysis Algorithm for Convolutive Blind Source Separation without Orthogonality Constraint on the Demixing Matrices. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1209858
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209858