Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Blind source separation (BSS) is a technique to recognize the multiple talkers from the multiple observations received by some sensors without any prior knowledge information. The problem is that the mixing is always complex, i.e., nonlinear, underdetermined mixture, such as the case where sources are mixed with some direction angles, or where the number of sensors is less than that of sources. In this paper, we propose a multi-subspace representation based BSS approach that allows the mixing process to be nonlinear and underdetermined. The approach relies on a multi-layer representation and sparse representation in time-frequency (TF) domain. By parameterizing such subspaces, we can map the observed signals in the feature space with the coefficient matrix from the parameter space. We then exploit the linear mixture in the feature space that corresponds to the nonlinear mixture in the input space. Once such subspaces are built, the coefficient matrix can be constructed by solving an l1-regularization on the coding coefficient vector. Relying on the TF representation, the target matrix can be constructed in a sparse mixture TF vectors with a fewer computational cost. The experiments are run on the observations that are generated from nonlinear functions, and that are collected with some direction angles in a virtual room environment. The proposed approach exhibits a higher separation accuracy than that of the conventional algorithms.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680889
DOIs
Publication statusPublished - 2019 May 1
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: 2019 May 202019 May 24

Publication series

NameIEEE International Conference on Communications
Volume2019-May
ISSN (Print)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period19/5/2019/5/24

Fingerprint

Blind source separation
Sensors
Costs
Experiments

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Wang, L., & Ohtsuki, T. (2019). Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain. In 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings [8761133] (IEEE International Conference on Communications; Vol. 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2019.8761133

Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain. / Wang, Lu; Ohtsuki, Tomoaki.

2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8761133 (IEEE International Conference on Communications; Vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, L & Ohtsuki, T 2019, Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain. in 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings., 8761133, IEEE International Conference on Communications, vol. 2019-May, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Communications, ICC 2019, Shanghai, China, 19/5/20. https://doi.org/10.1109/ICC.2019.8761133
Wang L, Ohtsuki T. Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain. In 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8761133. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2019.8761133
Wang, Lu ; Ohtsuki, Tomoaki. / Underdetermined Blind Separation using Multi-Subspace Representation in Time-Frequency Domain. 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE International Conference on Communications).
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