Blind source separation in biomedical engineering;Séparation aveugle de sources en ingénierie biomédicale

ITBM-RBM

Volumn 28, Issue 1, 2007, Pages 20-34

  Kachenoura, A ^a,b   Albera, L ^a,b   Senhadji, L ^a,b  

^a INSERM   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Biomedical Engineering; Blind signal processing; ECG; EEG; Health technologies; Independent component analysis

Indexed keywords

ALGORITHM; ARTICLE; BIOMEDICAL ENGINEERING; BIOMEDICINE; BIOTECHNOLOGY; ELECTROENCEPHALOGRAM; MATHEMATICAL ANALYSIS; SIGNAL PROCESSING; BLIND SOURCE SEPARATION; ELECTROCARDIOGRAM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; SEPARATION TECHNIQUE;

EID: 34447269200     PISSN: 12979562     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rbmret.2007.02.004     Document Type: Article

References (130)

1. Albera L. « Identification autodidacte de mélanges potentiellement sous-déterminés » PhD dissertation, University of Nice-Sophia Antipolis, December 2003.
2. Albera L., Comon P., Chevalier P., and Ferreol A. « Blind identification of underdetermined mixtures based on the hexacovariance ». ICASSP 04, IEEE International Conference on Acoustics Speech and Signal Processing, Montreal, Quebec, May 17-21 (2004)
3. e colloque sur le Traitement du Signal et des Images, vol. 1, Paris, France, septembre 8-11 (2003) 193-196
4. Albera L., Ferreol A., Chevalier P., and Comon P. « ICAR: Independent Component Analysis using Redundancies ». ISCAS 04, IEEE International Symposium on Circuits and Systems, Vancouver, Canada, May 23-26 (2004)
5. Albera L., Ferreol A., Chevalier P., and Comon P. « ICAR, a tool for blind source separation using fourth order statistics only » IEEE Transactions On Signal Processing (2005)
6. Albera L., Ferreol A., Comon P., and Chevalier P. « Sixth order blind identification of underdetermined mixtures (BIRTH) of sources ». ICA 03, Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan, April 1-4 (2003) 909-914
7. Albera L., Ferreol A., Comon P., and Chevalier P. « Blind Identification of Overcomplete Mixtures of sources (BIOME) » Linear Algebra Applications, Special Issue on Linear Algebra in Signal and Image Processing, vol. 391C (2004) 3-30
8. Amari S. Natural gradient works efficiently in learning. Neural Comput. 10 2 (1998) 251-276
9. Ans B., Herault J., and Jutten C. « Adaptative neural architectures: Detection of primitives ». COGNITIVA'85 (1985) 593-597
10. Barros A.K., and Ohnishi N. « Removal of quasi-periodic sources from physiological measurements ». ICA'99 (1999), Aussois, France 11-15
11. Barros A.K., Rosipal R., Girolami M., Dorffner G., and Ohnishi N. « Extraction of sleep spindles from the electroencephalogram (EEG) ». In Artificial Neural Networks in Medicine and Biology, (Proc. of the ANNIMAB-1 Conference), Springer (2000) 125-130
12. Barros A.K., Vigario R., Jousmäki V., and Ohnishi N. Extraction of event-related signals from multichannel bioelectrical measurements. IEEE Trans. Biomed. Eng. 47 5 (2000) 583-588
13. Basseville M. Distance measures for signal processing and pattern recognition. Signal. Process., Elsevier 18 4 (1989) 349-369
14. Bell A.J., and Sejnowski T.J. « An information maximization approach to blind separation and blind deconvolution ». Neural Comput. 7 (1995) 1129-1159
15. Bell A.J., and Sejnowski T.J. The independent components of natural scenes are edge filter. Vision Res. 37 23 (1997) 3327-3338
16. Belouchrani A. « Séparation autodidacte de sources : algorithmes, performances et application à des signaux expérimentaux » PhD dissertation, ENST Paris, 1995.
17. Belouchrani A., Abed-Meraim K., Cardoso J.F., and Moulines E. « Second-order blind source separation of correlated sources ». International Conference on Digital and Signal (1993), Nicosia, Cyprus 346-361
18. Belouchrani A., Abed-Meraim K., Cardoso J.F., and Moulines E. A blind source separation technique using second-order statistics. IEEE Trans. Signal. Process. 45 2 (1997) 434-444
19. Belouchrani A., and Amin M.G. Blind source separation based on time-frequency signal representation. IEEE Trans. Signal Process. 46 11 (1998) 2888-2897
20. Belouchrani A., and Cichocji A. « Robust whitening procedure in blind source separation context ». Electr. Lett. 23 24 (2000) 2050-2051
21. Bingham E., and Hyvarinen H. A fast fixed-point algorithm for independent component analysis of complex valued signals. Int. J. Neural Syst. 10 1 (2000) 1-8
22. Biswal B.B., and Ulmer J.L. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. J. Comput. Assist. Tomogr. 23 2 (1999) 265-271
23. Bommel J.V. Detection of weak fetal electrocardiograms by autocorrelation and cross-correlation of envelopes. IEEE Trans. Biomed. Eng. 15 (1968) 17-23
24. Bro R. Parafac, tutorial and applications. Chemometrics and Intelligent Laboratory Systems 38 (1997) 149-171
25. Cardoso J.F. « Blind identification of independent signals ». Workshop on Higher-Order Spectral Analysis (1989), Vail (CO, USA
26. Cardoso J.F. « Supersymetric decomposition of the fourth-order cumulant tensor. Blind identification of more sources than sensors ». ICASSP 91, IEEE International Conference on Acoustics Speech and Signal Processing, Toronto, Canada (1991) 3109-3112
27. Cardoso J.F. « Iterative techniques for blind source separation using only fourth-order cumulants, ». EUSIPCO 92, European Signal Processing Conference, Brussels, Belgium (1992)
28. Cardoso J.F. Infomax and maximum likelihood for blind source separation. IEEE Signal. Proc. Lett. 4 4 (1997) 112-114
29. Cardoso J.F. Blind signal separation: statistical principles. Proc. IEEE 9 10 (1998) 2009-2025
30. Cardoso J.F., and Souloumiac A. Blind beam forming for non-gaussian signals. IEE Proceedings-F: radar and signal processing 140 6 (1993) 362-370
31. Cardoso J.F., and Souloumiac A. Jacobi angles for simultaneous diagonalization. SIAM J. Matrix Anal. Appl. 17 1 (1996) 161-164
32. Chevalier P., Ferreol A., and Albera L. « On the behavior of current second order blind source separation methods for first and second order cyclostationary sources - Application to CPFSK sources ». ICASSP 02, IEEE International Conference on Acoustics Speech and Signal Processing, Orlando, US (2002) 3081-3084
33. Chevalier P., Ferreol A., and Albera L. « Méthodologie générale pour la séparation aveugle de sources cyclostationnaires arbitraires - Application à l'écoute passive des radiocommunications ». GRETSI 03, Dix-neuvième colloque sur le Traitement du Signal et des Images, vol. 1, Paris, France, septembre 8-11 (2003) 43-46
34. Choi S., Cichocki A., and Amari S. « Fetal electrocardiogram data analysis via flexible independent component analysis ». 4th Asia-Pacific Conference on Medical and Biological Engineering (APCMBE'99), Seoul, Korea (1999)
35. Choi S., Cichocki A., and Amari S. Flexible independent component analysis. J. VLSI Signal Process. 26 (2000) 25-38
36. Choi S., Cichocki A., and Belouchrani A. « Blind separation of second-order non-stationary and temporally colored sources ». Proceedings. IEEE Workshop on Statistical Signal Processing, Singapore (2001)
37. Comon P. « Independent component analysis ». In Proc. Int. Sig. Proc. Workshop on Higher-Order Statistics, Chamrousse, France, 10-12, July 1991, pp. 111-120 (1992) 29-38 (republished in Higher-Order Statistics, J.L. Lacoume ed., Elsevier)
38. Comon P. Independent component analysis, a new concept?. Signal Process., Elsevier 36 3 (1994) 287-314
39. Comon P. « Blind channel identification and extraction of more sources than sensors ». SPIE Conference, San Diego, US, July 19-24 (1998) 2-13
40. Comon P. « From source separation to blind equalization, contrast-based approaches ». ICISP 01, International Conference on Image and Signal Processing, Agadir, Morocco, May 3-5 (2001) 20-32
41. Comon P., Jutten C., and Herault J. Blind separation of source, Part II: Statement problem. Signal Process., Elsevier 24 1 (1991) 11-20
42. P. Comon, J.L. Lacoume, « Statistiques d'ordres supérieurs pour le traitement du signal » École prédoctorale de physique, Les Houches, 30 août-10 septembre 1993, P. Flandrin et J. L. Lacoume ed.
43. Comon P., and Moreau E. « Improved contrast dedicated to blind separation in communications ». ICASSP 97, IEEE International Conference on Acoustics Speech and Signal Processing, Munich, April 20-24 (1997) 3453-3456
44. Cox J.R., and Medgyesi-Mitschang L.N. An algorithmic approach to signal estimation useful in fetal electrocardiography. IEEE Trans. Biomed. Eng. 16 (1969) 215-219
45. De Lathauwer L. « The canonical decomposition and blind identification with more inputs than outputs: some algebraic results ». ICA 03, Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan, April 1-4 (2003) 781-784
46. De Lathauwer L., Callaerts D., De Moor B., and Vandewalle J. « Fetal electrocardiogram extraction by source subspace separation » Girona, Spain (1995) 134-138
47. De Lathauwer L., Comon P., De Moor B., and Vandewalle J. « ICA algorithms for 3 sources and 2 sensors ». HOS 99, IEEE Signal Processing Workshop on Higher-Order Statistics, Caesarea, Israel, June 14-16 (1999) 116-120
48. De Lathauwer L., De Moor B., and Vandewalle J. Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Eng. 47 5 (2000) 567-572
49. De Lathauwer L., De Moor B., Vandewalle J., and Cardoso J.F. « Independent component analysis of largely underdetermined mixtures ». ICA 03, Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan, April 1-4 (2003) 29-33
50. Delfosse N., and Loubaton P. Adaptive blind separation of independent sources: a deflation approach. Signal Process., Elsevier 45 (1995) 59-83
51. Diamantaras K.I. « Blind separation of multiple binary sources using a single linear mixture ». ICASSP 00, IEEE Int. Conf. Acoust. Speech Sig. Proc., Istanbul, Turkey, June 5-9 (2000) 2889-2892
52. Duann J.R., Jung T.P., Yeh W., Makeig S., Hsieh J.C., and Sejnowski T.J. Single-trial variability in event-related bold signals. Neuroimage 15 54 (2002) 823-835
53. Emile B., Comon P., and Leroux J. Estimation of time delays with fewer sensors than sources. IEEE Trans. Signal Process. 46 7 (1998) 2012-2015
54. Eriksson J., and Koivunen V. « Identifiability, separability and uniqueness of linear ICA models ». IEEE Signal. Process. Lett. (2004) 601-604
55. Esposito F., Scarabino T., Hyvärinen A., Himberg J., Formisano E., Comani S., et al. « Independent component analysis of fMRI group studies by self-organizing clustering ». NeuroImage (2005)
56. Widrow B., Glover J., Mccool J., Kaunitz J., Williams C., Hearn R., et al. « Adaptive noise cancelling: Principles and applications ». Proc. IEEE 63 (1975) 1692-1716
57. Farina D., Fevotte C., Doncarli C., and Merletti R. Blind separation of linear instantaneous mixtures of non-stationary surface myoelectric signals. IEEE Trans. Biomed. Eng. 9 (2004) 1555-1567
58. Ferrara E., and Widrow B. « The time-sequenced adaptive filter ». IEEE Trans. Acoust. Speech, Signal Processing 29 (1981) 679-683
59. Ferreol A., Albera L., and Chevalier P. « Fourth order blind identification of underdetermined mixtures of sources (FOBIUM) ». ICASSP 03, IEEE International Conference on Acoustics Speech and Signal Processing, Hong Kong, China, April 6-10 (2003) 41-44
60. Ferreol A., Albera L., and Chevalier P. Fourth order blind identification of underdetermined mixtures of sources (FOBIUM). IEEE Trans. Signal Process. 53 5 (2005) 1640-1653
61. Ferreol A., and Chevalier P. « Higher order blind source separation using cyclostationarity property of the signals ». ICASSP 97, 1997 IEEE International Conference on Acoustics Speech and Signal Processing, Munich, Germany, April 21-24 (1997) 4061-4064
62. Ferreol A., and Chevalier P. « On the behavior of current second and higher order blind source separation methods for cyclostationary sources ». IEEE Trans. Signal Process. 48 6 (2000) 1712-1725 (Errata 2002;50(4):990)
63. Ferreol A., Chevalier P., and Albera L. « Higher order blind separation of non zero-mean cyclostationary sources ». EUSIPCO 02, XI European Signal Processing Conference, vol. 5, Toulouse, France, September 3-6 (2002) 103-106
64. Ferreol A., Chevalier P., and Albera L. Second order blind separation of first and second order cyclostationary sources - Application to AM, FSK, CPFSK and deterministic sources. IEEE Trans. Signal Process. 52 (2004) 845-861
65. Fety L. « Méthodes de traitement d'antenne adaptées aux radios communications » PhD dissertation, École nationale supérieure des télécommunications (ENST), 1988.
66. Fevotte C. « Approche temps-fréquence pour la séparation aveugle de sources non-stationnaires » PhD dissertation, École centrale de Nantes et de l'université de Nantes, octobre 2003.
67. Fevotte C., and Doncarli C. Two contributions to blind sources separation using time-frequency distributions. IEEE Signal Process. Lett. 11 3 (2004) 386-389
68. Gaeta M., and Lacoume J.L. « Source separation without prior knowledge: the maximum likelihood solution ». EUSIPCO (1990) 621-624
69. Garcia G.A., Nishitani R., Okuno R., and Akazawa K. « Independent component analysis as preprocessing tool for decomposition of surface electrode-array electromyogram ». ICA'03, Nara, Japan (2003) 191-196
70. Gassiat E. « Déconvolution aveugle » PhD. dissertation, University of Paris Sud (Orsay), January 1988.
71. Harroy F., and Lacoume J. Maximum likelihood estimators and cramer-rao bounds in source separation. Signal Process. 55 (1996) 167-177
72. Herault J., and Ans B. « Circuits neuronaux à synapses modifiables : décodage de messages composites par apprentissage non supervisé ». C.R. de l'Académie des sciences (1984) 525-528
73. Herault J., Jutten C., and Ans B. « Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé ». GRETSI 85, Dixième colloque sur le Traitement du Signal et des Images, Nice, France (1985) 1017-1022
74. Holobar A., Fevotte C., Doncarli C., and Zazula D. « Single autotermes separation based on bilinear time-frequency representations ». EUSIPCO, Toulouse, France (2002) 565-568
75. Hon E., and Lee S. Noise reduction in fetal electrocardiography. Am. J. Obstet. Gynecol. 78 (1963) 1087-1096
76. Hyvarinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10 3 (1999) 626-634
77. Hyvarinen A., Karhunen J., and Oja P. Independent component analysis, ser (2001), Wiley Interscience. John Wiley and Sons, New-York
78. Hyvarinen A., and Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comput. 9 (1997) 1483-1492
79. Jung T.P., Humphries C., Lee T.W., Makeig S., Mckeown M.J., Iragui V., et al. « Extended ica removes artifacts from electroencephalographic recordings ». Adv. Neural Inf. Process. Syst. 10 (1998)
80. Jung T.P., Humphries C., Lee T.-W., Mckeown M.J., Iragui V., Makeig S., et al. Removing electroencephalographic artifacts by blind source separation. Psychophysiology 37 (2000) 163-178
81. Jung T.P., Makeig S., Westerfield M., Townsend J., Courchesne E., and Sejnowski T.J. « Independent component analysis of single-trial even-related potentials ». ICA'99, Aussois, France (1999) 173-178
82. Jutten C., and Herault J. Blind separation of sources, part i: an adaptative algorithm based on neuromimatic architecture. Signal Process. 24 1 (1991) 1-10
83. Kachenoura A., Gauvrit L., and Senhadji L. « Extraction and separation of eyes movements and the muscular tonus from a restricted number of electrodes using the independent component analysis ». EMBS 2003, Cancun, Mexico (2003) 2359-2362
84. Kiviniemi V., Kantola J.H., Jauhiainen J., Hyvärinen A., and Tervonen O. Independent component analysis of non-deterministic fMRI signal sources. Neuroimage 19 2 (2003) 253-260
85. Lacoume J.L., Amblard P.O., and Comon P. Statistiques d'ordre supérieur pour le traitement du signal, ser. Collection Sciences de l'Ingénieur (1997), Masson, Paris
86. Lacoume J.L., and Ruiz P. « Sources identification: a solution based on cumulants ». IEEE ASSP Workshop (1988)
87. Laheld B., and Cardoso J. « Adaptative source separation without prewitening ». EUSIPCO 94, European Signal Processing Conference (1994)
88. Lee T.W., Girolami M., Bell A., and Sejnowski T.J. A unifying information-theoretic framework for independent component analysis. Comput. Math. Appl. 31 11 (2000) 1-12
89. Lee T.W., Girolami M., and Sejnowski T.J. Independent component analysis using an extended Infomax algorithm for mixed sub-gaussian end super-gaussian sources. Neural Comput. 11 2 (1999) 417-441
90. Lee T.W., Lewicki M.S., Girolami M., and Sejnowski T.J. Blind source separation of more sources than mixtures using over complete representations. IEEE Signal Process. Lett. 4 4 (1999) 87-90
91. Lee T.W., and Sejnowski T.J. « Independent component analysis for sub-gaussian and super-gaussian mixtures ». Proceedings of the 4th Joint Symposium on Neural Computation, vol. 7, La Jolla, CA: University of California, San Diego (1997)
92. Macchi O., and Moreau E. « Self-adaptative source separation using correlated signal and cross cumulants ». Proceeding Workshop Athos working group, Girona, Spain (1995)
93. Makeig S., Jung T.P., and Bell A.J. « Blind separation of auditory event-related brain responses into independent components ». Proc. National Academy of Sciences, vol. 94, USA (1997)
94. McCullagh P. Tensor Methods in Statistics (1987), Chapman and Hall, Monographs on Statistics and Applied Probability, London
95. McKeown M.J., Makeig S., Brown G.B., Jung T.B., Kindermann S.S., Bell A.J., et al. « Analysis of fMRI data by blind separation into independent spatial components » vol. 6 (1998) 160-188
96. Moreau E. « Apprentissage et adaptabilité. Séparation auto-adaptative de sources indépendantes » PhD dissertation, Paris Sud University, 1995.
97. Moreau E. « Criteria for complex sources separation ». In Proceeding of European Signal Processing Conference, (EUSIPCO'96), Trieste, Italy (1996) 931-934
98. Moreau E., and Macchi O. « New self-adaptive algorithms for source separation based on contrast functions ». HOS93, IEEE Signal Processing Workshop on Higher Order Statistics, Lake Tahoe, US (1993) 215-219
99. Oostendorp T. « Modeling the fetal ecg » PhD dissertation, K.U. Nijmegen, the Netherlands, 1989.
100. Pearlmutter B., and Parra L. « A context-sensitive generalization of ica ». Internationnal Conference on Neural Information Processing (1996) 151-157
101. Pham D.T., and Garrat P. Blind separation of mixture of independent sources through a quasi-maximum likelihood approach. IEEE Trans. Signal Process. 45 7 (1997) 1712-1725
102. Pham D.T., Garrat P., and Jutten C. « Blind separation of mixture of independent sources through a maximum likelihood approach ». In proceeding EUSIPCO (1992) 771-774
103. Pham D., and Cardoso J.F. Blind separation of instantaneous mixtures of non-stationary sources. IEEE Trans. Signal Process. 49 9 (2001) 1837-1848
104. Picinbono B. Signaux aléatoires, Tome 1 (1993), Dunod, Paris
105. Plonsey R. Bioelectric phenomena (1969), McGraw-Hill, New York
106. Poree F., Kachenoura A., Gauvrit H., Morvan C., Carrault G., and Senhadji L. « Blind source separation for ambulatory sleep recording » Transactions on Information Technology in Biomedicine (2006) (to appear)
107. Prieto A, Prieto B, Puntonet CG, Ganas A, Martin-Smith P. « Geometric separation of linear mixtures of sources: Application to speech signals ».
108. Prieto A., Puntonet C.G., and Prieto B. A neural algorithm for blind separation of sources based on geometric properties. Signal Process. 64 3 (1998) 315-331
109. Puntonet C.G., Prieto A., Jutten C., Rodriguez-Alvarez M., and Ortega J. Separation of sources: a geometry-based procedure for reconstruction of n-valued signals. Signal Process. 46 3 (1995) 267-2814
110. Rieta J.J., Castells F., Sanchez C., Zarzoso V., and Millet J. Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans. Biomed. Eng. 51 7 (2004) 1176-1186
111. Rouxel A., Guennec D.L., and Macchi O. « Unsupervised adaptive separation of impulse signals applied to EEG analysis ». ICASSP'00 (2000) 420-423
112. Spooner S.M., and Gardner W.A. The cumulant theory of cyclostationarity time-series - Part. II: Development and applications. IEEE Trans. Signal Process. 42 12 (1994) 3409-3429
113. Stone J.V., Porrill J., Porter N.R., and Wilkinson I.D. Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions. Neuroimage 15 2 (2002) 407-421
114. Taigang H., Clifford G., and Tarassanko L. « Application of ica in removing artefacts from the ECG ». Accepted Neural Process. Lett (2004)
115. Taleb A. « An algorithm for the blind identification of N independent signal with 2 sensors ». ISSPA 01, sixteenth symposium on signal processing and its applications, Kuala-Lumpur, Malaysia, August 13-16 (2001) 5-8
116. Thirion N., and Moreau E. « New criteria for blind signal separation ». IEEE Workshop on Statistical Signal and Array Processing, Pennsylvania, US (2000) 344-348
117. Tong L. Identification of multichannel parameters using higher order statistics. Signal Process. 53 2 (1996) 195-202
118. Tong L., Liu R., Soon V., and Huang Y. Indeterminacy and identifiability of blind identification. IEEE Trans Circuits Syst. 38 5 (1991) 499-509
119. Tong L., Soon V., Huang Y., and Liu R. « Amuse: a new blind identification algorithm » New Orleans, LA (1990) 1784-1786
120. Vetter R., Virag N., Vesin J.M., Celka P., and Scherrer U. Observer of autonomic cardiac outflow based on blind source separation of ECG parameters. IEEE Trans. Biomed. Eng. 47 5 (2000) 578-582
121. Vigario R.N. Extraction of ocular artifacts from EEG using independent component analysis. Electroencephalogr. Clin. Neurophysiol. 103 (1997) 395-404
122. Vigario R.N., Jousmäki V., Hämäläinen M., Hari R., and Oja E. « Independent component analysis for identification of artifacts in magnetoencephalographic recordings » Proc. NIPS'97 (1998), MIT Press, Cambridge, MA 229-235
123. Vigario R.N., Särelä J., Jousmäki V., Hämäläinen M., and Oja E. Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. Biomed. Eng. 47 5 (2000) 589-593
124. Vigario RN, Särelä J, Jousmäki V, E OJA, « Independent component analysis in decomposition of auditory and somatosensory evoked fields » In: ICA'99, Aussois, France, pp. 167-172.
125. Vigario RN, Särelä J, Oja E. « Independent component analysis in wave decomposition of auditory evoked fields » In: Conf. on Artificial Neural Networks (ICANN'98), Skövde, Sweden, pp. 287-292.
126. Wisbeck J., Barros A.K., and Ojeda R. « Application of ica in the separation of breathing artefacts in ECG signals ». International Conference on Neural Information Processing, (ICONIP'98) (1998) 211-214
127. Yeredor A. Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation. IEEE Trans. Signal Process. 50 7 (2002) 1545-1553
128. Zarzoso V., Nandi A.K., and Bacharakis E. Non-invasive fetal electrocardiogram extraction: blind separation versus adaptative noise cancellation. IEEE Trans. Biomed. Eng. 48 1 (2001) 12-18
129. Zarzozo V., and Comon P. « How fast is FastICA ». EUSIPCO 06, Fourteenth European Signal Processing Conference, Florence, Italy, September, 4-8 (2006)
130. Ziehe A., and Müller K.R. « Tdsep- an efficient algorithm for blind separation using time structure ». International Conference on Artificial Neural Networks (1998) 675-680