Inversion of the sliding Fourier transform using only two frequency bins and its application to source separation

Author:

Dapena A,Servière C,Castedo L

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference6 articles.

1. V. Capdevielle, C. Serviere, J.L. Lacoume, Blind separation of wide-band sources in the frequency domain, in: Proceedings of ICASSP 1995, Detroit, USA, 1995, pp. 2080–2083.

2. Blind beamforming for non-Gaussian signals;Cardoso;IEE-Proc.-F,1993

3. G. Gelle, M. Colas, C. Serviere, BSS for fault detection and machine monitoring time or frequency domain approach?, in: Proceedings of ICA’2000, Finland, June 2000, pp. 555–560.

4. An approach to blind source separation based on temporal structure of speech signals;Murata;Neurocomputing,2001

5. K. Rahbar, J.P. Reilly, Blind source separation algorithm for MIMO convolutive mixtures, in: Proceedings of ICA’2001, San Diego, USA, 2001, pp. 242–247.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generalized Sliding Discrete Fourier Transform;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2016

2. A novel blind deconvolution algorithm using single frequency bin;Journal of Zhejiang University-SCIENCE A;2007-07

3. Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources;IEEE Transactions on Signal Processing;2007-01

4. Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method;Advances in Neural Networks - ISNN 2006;2006

5. A Neural Network Blind Separation Method Based on Special Frequency Bins;Advances in Neural Networks – ISNN 2005;2005

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