Accelerated gradient with optimal step size for second-order blind signal separation

This paper proposes an algorithm for the second-order blind signal separation problem with convolutive mixtures. An iterative first order gradient method based on the accelerated gradient is developed for solving the optimization problem. For each search direction, the question becomes how to effect...

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Main Authors: Dam, Hai Huyen Heidi, Nordholm, Sven
Format: Journal Article
Published: Springer Netherlands 2017
Online Access:http://hdl.handle.net/20.500.11937/50680
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author Dam, Hai Huyen Heidi
Nordholm, Sven
author_facet Dam, Hai Huyen Heidi
Nordholm, Sven
author_sort Dam, Hai Huyen Heidi
building Curtin Institutional Repository
collection Online Access
description This paper proposes an algorithm for the second-order blind signal separation problem with convolutive mixtures. An iterative first order gradient method based on the accelerated gradient is developed for solving the optimization problem. For each search direction, the question becomes how to effectively calculate the optimal step size in each iteration. Here, we propose an efficient algorithm for obtaining the step size by first reformulating the objective function as a fourth order polynomial in terms of the step size, where the polynomial coefficients are required to be calculated only once per iteration. An optimal step size search procedure using the Newton’s method is developed with the step size is efficiently obtained for each iteration. Simulation results in a simulated room environment and a real environment show that the proposed algorithm converges faster than the existing methods with a lower number of iterations and a lower computational complexity. In addition, the proposed algorithm can separate the speech signals and reduce the background noise simultaneously.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:45:15Z
publishDate 2017
publisher Springer Netherlands
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spelling curtin-20.500.11937-506802017-09-13T15:37:02Z Accelerated gradient with optimal step size for second-order blind signal separation Dam, Hai Huyen Heidi Nordholm, Sven This paper proposes an algorithm for the second-order blind signal separation problem with convolutive mixtures. An iterative first order gradient method based on the accelerated gradient is developed for solving the optimization problem. For each search direction, the question becomes how to effectively calculate the optimal step size in each iteration. Here, we propose an efficient algorithm for obtaining the step size by first reformulating the objective function as a fourth order polynomial in terms of the step size, where the polynomial coefficients are required to be calculated only once per iteration. An optimal step size search procedure using the Newton’s method is developed with the step size is efficiently obtained for each iteration. Simulation results in a simulated room environment and a real environment show that the proposed algorithm converges faster than the existing methods with a lower number of iterations and a lower computational complexity. In addition, the proposed algorithm can separate the speech signals and reduce the background noise simultaneously. 2017 Journal Article http://hdl.handle.net/20.500.11937/50680 10.1007/s11045-017-0478-8 Springer Netherlands restricted
spellingShingle Dam, Hai Huyen Heidi
Nordholm, Sven
Accelerated gradient with optimal step size for second-order blind signal separation
title Accelerated gradient with optimal step size for second-order blind signal separation
title_full Accelerated gradient with optimal step size for second-order blind signal separation
title_fullStr Accelerated gradient with optimal step size for second-order blind signal separation
title_full_unstemmed Accelerated gradient with optimal step size for second-order blind signal separation
title_short Accelerated gradient with optimal step size for second-order blind signal separation
title_sort accelerated gradient with optimal step size for second-order blind signal separation
url http://hdl.handle.net/20.500.11937/50680