Blind instantaneous noisy mixture separation with best interference-plus- noise rejection

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

Volumn 4666 LNCS, Issue , 2007, Pages 730-737

  Koldovský, Zbyněk ^a,b   Tichavský, Petr ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^b TECHNICAL UNIVERSITY OF LIBEREC   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION; CONSTRAINT THEORY; DATA PROCESSING; SIGNAL ANALYSIS;

BLIND INSTANTANEOUS NOISY MIXTURE; PROPOSED ALGORITHM;

ALGORITHMS;

EID: 38149014823     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_91     Document Type: Conference Paper

References (11)

1. Bingham, E., Hyvärinen, A.: A fast fixed-point algorithm for independent component analysis of complex valued signals. Int. J. Neural Systems 10, 1-8 (2000)
2. Cardoso, J.-F., Souloumiac, A.: Blind Beamforming from non-Gaussian Signals. IEE Proc.-F 140, 362-370 (1993)
3. Cardoso, J.-F.: On the performance of orthogonal source separation algorithms. In: Proc. EUSIPCO, Edinburgh, pp. 776-779 (1994)
4. Davies, M.: Identifiability Issues in Noisy ICA. IEEE Signal Processing Letters 11, 470-473 (2005)
5. Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 9, 1483-1492 (1997)
6. Hyvärinen, A.: Gaussian Moments for Noisy Independent Component Analysis. IEEE Signal Processing Letters 6, 145-147 (1999)
7. Koldovský, Z., Tichavský, P.: Methods of Fair Comparison of Performance of Linear ICA Techniques in Presence of Additive Noise. In: Proc. of ICASSP 2006, Toulouse, pp. 873-876 (2006)
8. Koldovský, Z., Tichavský, P., Oja, E.: Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the Cramér-Rao Lower Bound. IEEE Tr. Neural Networks 17, 1265-1277 (2006)
9. Koldovský, Z., Tichavský, P.: Asymptotic analysis of bias of FastICA-based algorithms in presence of additive noise, Technical report no 2181, ÚTIA, AV ČR (2007), Available at http://itakura.kes.tul.cz/ zbynek/publications.htm
10. Oja, E., Yuan, Z.: The FastICA algorithm revisited: Convergence analysis. IEEE Trans. on Neural Networks 17, 1370-1381 (2006)
11. Tichavský, P., Koldovský, Z., Oja, E.: Performance Analysis of the FastICA Algorithm and Cramér-Rao Bounds for Linear Independent Component Analysis. IEEE Tr. on Signal Processing 54, 1189-1203 (2006)