A method based on L-BFGS to solve constrained complex-valued ICA

A method based on L-BFGS to solve constrained complex-valued ICA

Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory...

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Main Authors: Nguyen, Anh Hai Trieu, Reju, V. G., Khong, Andy Wai Hoong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Complex-valued ICA
L-BFGS
Online Access:https://hdl.handle.net/10356/138246
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1382462020-04-29T08:47:15Z A method based on L-BFGS to solve constrained complex-valued ICA Nguyen, Anh Hai Trieu Reju, V. G. Khong, Andy Wai Hoong School of Electrical and Electronic Engineering 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Engineering::Electrical and electronic engineering Complex-valued ICA L-BFGS Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory Broyden–Fletcher–Goldfarb–Shanno update (L-BFGS). As opposed to previous approaches, the proposed method does not apply any restriction on the Hessian matrix of ICA cost function. It can separate mixed sub-Gaussian, super-Gaussian, circular, and non-circular sources. Simulations show promising results. NRF (Natl Research Foundation, S’pore) Accepted version 2020-04-29T08:47:15Z 2020-04-29T08:47:15Z 2019 Conference Paper Nguyen, A. H. T., Reju, V. G., & Khong, A. W. H. (2019). A method based on L-BFGS to solve constrained complex-valued ICA. Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4370-4374. doi:10.1109/icassp.2019.8683698 https://hdl.handle.net/10356/138246 10.1109/ICASSP.2019.8683698 4370 4374 en SLE-RP5 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICASSP.2019.8683698 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Complex-valued ICA
L-BFGS
spellingShingle Engineering::Electrical and electronic engineering
Complex-valued ICA
L-BFGS
Nguyen, Anh Hai Trieu
Reju, V. G.
Khong, Andy Wai Hoong
A method based on L-BFGS to solve constrained complex-valued ICA
description Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory Broyden–Fletcher–Goldfarb–Shanno update (L-BFGS). As opposed to previous approaches, the proposed method does not apply any restriction on the Hessian matrix of ICA cost function. It can separate mixed sub-Gaussian, super-Gaussian, circular, and non-circular sources. Simulations show promising results.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Nguyen, Anh Hai Trieu
Reju, V. G.
Khong, Andy Wai Hoong
format Conference or Workshop Item
author Nguyen, Anh Hai Trieu
Reju, V. G.
Khong, Andy Wai Hoong
author_sort Nguyen, Anh Hai Trieu
title A method based on L-BFGS to solve constrained complex-valued ICA
title_short A method based on L-BFGS to solve constrained complex-valued ICA
title_full A method based on L-BFGS to solve constrained complex-valued ICA
title_fullStr A method based on L-BFGS to solve constrained complex-valued ICA
title_full_unstemmed A method based on L-BFGS to solve constrained complex-valued ICA
title_sort method based on l-bfgs to solve constrained complex-valued ica
publishDate 2020
url https://hdl.handle.net/10356/138246
_version_ 1681056487412072448

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