Determined Blind Source Separation via Proximal Splitting Algorithm

Kohei Yatabe; Daichi Kitamura

doi:10.1109/ICASSP.2018.8462338

Determined Blind Source Separation via Proximal Splitting Algorithm

Kohei Yatabe, Daichi Kitamura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Abstract

The state-of-the-art algorithms of determined blind source separation (BSS) methods based on the independent component analysis (ICA) have gained computational efficiency by the majorization-minimization (MM) principle with a price of losing flexibility. That is, replacing and comparing different source models are not easy in such MM-based framework because it requires efforts to derive a new algorithm each time when one changes the model. In this paper, a general framework for obtaining an ICA-based BSS algorithm is proposed so that a source model can easily be replaced because only a single line of the algorithm must be modified. A sparsity-based extension of the independent vector analysis and a low-rankness-based BSS model using the nuclear norm are also proposed to demonstrate the simplicity and easiness of the proposed framework.

Original language	English
Title of host publication	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	776-780
Number of pages	5
Volume	2018-April
ISBN (Print)	9781538646588
DOIs	https://doi.org/10.1109/ICASSP.2018.8462338
Publication status	Published - 2018 Sep 10
Event	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada Duration: 2018 Apr 15 → 2018 Apr 20

Other

Other	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country	Canada
City	Calgary
Period	18/4/15 → 18/4/20

Keywords

Frequency domain independent component analysis (FDICA)
Independence-based separation
Independent vector analysis (IVA)
Primal-dual splitting algorithm
Proximity operator

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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Cite this

Determined Blind Source Separation via Proximal Splitting Algorithm. / Yatabe, Kohei; Kitamura, Daichi.

2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 776-780 8462338.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yatabe, K & Kitamura, D 2018, Determined Blind Source Separation via Proximal Splitting Algorithm. in 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. vol. 2018-April, 8462338, Institute of Electrical and Electronics Engineers Inc., pp. 776-780, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, Calgary, Canada, 18/4/15. https://doi.org/10.1109/ICASSP.2018.8462338

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