Two improved sparse decomposition methods for blind source separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4666 LNCS, Issue , 2007, Pages 365-372

  Gowreesunker, B Vikrham ^a   Tewfik, Ahmed H ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; ERROR CORRECTION; PROBLEM SOLVING; SIGNAL PROCESSING; SPEECH PROCESSING;

BOUNDED ERROR SUBSET SELECTION (BESS) METHODS; SPARSE DECOMPOSITION METHODS;

BLIND SOURCE SEPARATION;

EID: 38149000338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_46     Document Type: Conference Paper

References (12)

1. http : //www-stat. Stanford. edu/∼wavelab/
2. http ://sassec.gforge.inria.fr/
3. Aharon, M., Elad, M., Bruckstein, A.: The K-SVD: An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation. IEEE Trans. on Signal Processing 54, 4311-4322 (2006)
4. Vincent, E., Gribonval, R., Fevotte, C., et al.: BASS-dB: the blind audio source separation evaluation database, Available on-line http ://www.irisa.fr/metiss/BASS-dB/
5. Alghoniemy, M., Tewfik, A.H.: Reduced Complexity Bounded Error Subset Selection In: IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), pp. 725-728 (March 2005)
6. Fevotte, C., Godsill, S.: A Bayesian approach for blind separation of sparse sources. IEEE Trans. on Speech and Audio Processing 14, 2174-2188 (2006)
7. Gribonval, R.: Sparse decomposition of stereo signals with Matching Pursuit and application to blind separation of more than two sources from a stereo mixture. In: IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), vol. 3, pp. 3057-3060 (May 2002)
8. Mallat, S.: A Wavelet Tour of Signal Processing, 2nd edn. Academic Press, San Diego (1999)
9. Shindo, H., Hirai, Y.: Blind Source Separation by a Geometrical Method. In: Proceedings of the 2002 International Joint Conference on Neural Networks (IJNN), pp. 1109-1114 (May 2002)
10. Mallat, S., Zhang, Z.: Matching Pursuit with Time-frequency Dictionaries. IEEE Trans. on Signal Processing 41, 3397-3415 (1993)
11. Tan, V.Y., Fevotte, C.: A study of the effect of source sparsity for various transforms on blind audio source separation performance. In: Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS'05), Rennes, France (November 2005)
12. Zibulevsky, M., Pearlmutter, B.A., Bofill, P., Kisilev, P.: Blind Source Separation by Sparse Decomposition. In: chapter in the book: Roberts, S.J., Everson, R.M. (eds.) Independent Component Analysis: Principles and Practice, Cambridge (2001)