Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures-Reference-Cited by-同舟云学术

Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures

Published:2004 Issue: Volume: Page:540-547
ISSN:0302-9743
Container-title:Independent Component Analysis and Blind Signal Separation
language:
Short-container-title:

Author:

Abdallah Samer,Plumbley Mark D.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30110-3_69

Reference9 articles.

1. Abdallah, S.A.: Towards Music Perception by Redundancy Reduction and Unsupervised Learning in Probabilistic Models. PhD thesis, Department of Electronic Engineering, King’s College London (2002)

2. Mitianoudis, N., Davies, M.E.: New fixed-point solutions for convolved mixtures. In: 3rd Intl. Conf. on Independent Component Analysis and Source Separation (ICA 2001), San Diego, California (2001)

3. Cardoso, J.F., Laheld, B.: Equivariant adaptive source separation. IEEE Trans. on Signal Processing 44, 3017–3030 (1996)

4. Everson, R., Roberts, S.: Independent component analysis: A flexible nonlinearity and decorrelating manifold approach. Neural Computation 11, 1957–1983 (1999)

5. Hyvärinen, A., Hoyer, P., Inki, M.: Topographic independent component analysis. Neural Computation 13, 1527–1558 (2001)

Cited by 4 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. Blind Source Separation using Space–Time Independent Component Analysis;Blind Speech Separation;2007

2. Musical audio analysis using sparse representations;Compstat 2006 - Proceedings in Computational Statistics

3. Space-Time ICA and EM Brain Signals;Independent Component Analysis and Signal Separation

4. Audio Source Separation using Sparse Representations;Machine Audition