西南石油大学学报(自然科学版) ›› 2008, Vol. 30 ›› Issue (3): 55-57.DOI: 10.3863/j.issn.1000-2634.2008.03.014
• 地质勘探 • Previous Articles Next Articles
XIONG Ying
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Abstract: The convolutive model in the time domain is transformed to an instantaneous model in the frequency domain by sliding window shorttime Fourier Transform,so more robust ICA algorithm of instantaneous model can be employed to solve convolved mixtures problem.In this paper,based on blind convolved mixtures algorithm in the frequency domain,a complex fixed point algorithm that is a oneunit algorithm of the fast convergence is applied to every frequency bin,it can separate source signals under separation filter higher order in the real environment.Then in order to prevent it from converging to the same signal,the deflation technique is used to extract the separated signals from convolved mixtures in the frequency domain.Scaling and permutation problems also are solved in the frequency domain,so multiplesources can be recovered one by one.Simulation demonstrates the validity.
Key words: blind signal separation, frequency domain, extraction, oneunit algorithm, convolved mixtures, signal processing
CLC Number:
TE151
P631
XIONG Ying. BLIND SEPARATION OF CONVOLVED MIXTURES BY USING ONEUNIT ALGORITHM IN THE FREQUENCY DOMAIN[J]. 西南石油大学学报(自然科学版), 2008, 30(3): 55-57.
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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.2008.03.014
http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2008/V30/I3/55