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Cited by 8,205

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Independent component analysis, A new concept?

Open access
Comon, Pierre·1994·Signal Processing

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Research works printed but not linked: 32

  1. Bellini, 1990, Asymptotically efficient blind deconvolution, Signal Processing, Vol. 20, 193, 10.1016/0165-1684(90)90010-V · DOI
  2. Basseville, 1989, Distance measures for signal processing and pattern recognition, Signal Processing, Vol. 18, 349, 10.1016/0165-1684(89)90079-0 · DOI · Paper page
  3. Benveniste, 1980, Robust identification of a nonminimum phase system, IEEE Trans. Automat. Control, Vol. 25, 385, 10.1109/TAC.1980.1102343 · DOI · Paper page
  4. Chan, 1982, An improved algorithm for computing the singular value decomposition, ACM Trans Math. Software, Vol. 8, 72, 10.1145/355984.355990 · DOI
  5. Comon, 1990, Analyse en Composantes Indépendantes et Identification Aveugle, Traitement du Signal, Vol. 7, 435
  6. Darmois, 1953, Analyse Générale des Liaisons Stochastiques, Rev. Inst. Internat. Stat., Vol. 21, 2, 10.2307/1401511 · DOI
  7. Dugué, 1951, Analycité et convexité des fonctions caractéristiques, Annales de l'Institut Henri Poincaré, Vol. XII, 45
  8. Duvaut, 1990, Principes de méthodes de séparation fondées sur les moments d'ordre supérieur, Traitement du Signal, Vol. 7, 407
  9. Forster, 1991, Bearing estimation in the bispectrum domain, IEEE Trans. Signal Processing, Vol. 39, 1994, 10.1109/78.134432 · DOI
  10. Fort, 1991, Stability of the JH sources separation algorithm, Traitement du Signal, Vol. 8, 35
  11. Eriedlander, 1990, Asymptotically optimal estimation of MA and ARMA parameters of non-Gaussian processes from high-order moments, IEEE Trans Automat. Control, Vol. 35, 27, 10.1109/9.45140 · DOI
  12. Giannakis, 1990, On estimating noncausal nonminimum phase ARMA models of non-Gaussian processes, IEEE Trans. Acoust. Speech Signal Process, Vol. 38, 478, 10.1109/29.106866 · DOI
  13. Giannakis, 1992, A unifying maximum-likelihood view of cumulant and polyspectral measures for non-Gaussian signal classification and estimation, IEEE Trans. Inform. Theory, Vol. 38, 386, 10.1109/18.119695 · DOI
  14. Giannakis, 1989, Cumulant-based identification of multichannel moving average models, IEEE Automat. Control., Vol. 34, 783, 10.1109/9.29415 · DOI
  15. Jutten, 1991, Blind separation of sources, Part I: An adaptive al'gorithm based on neuromimatic architecture, Signal Processing, Vol. 24, 1, 10.1016/0165-1684(91)90079-X · DOI · Paper page
  16. Kendall, 1977, The Advanced Theory of Statistics, Vol. 1
  17. McCullagh, 1984, Tensor notation and cumulants, Biometrika, Vo. 71, 461, 10.1093/biomet/71.3.461 · DOI
  18. Nikias, 1988, ARMA bispectrum approach to nonminimum phase system identification, IEEE Trans. Acoust. Speech Signal Process, Vol. 36, 513, 10.1109/29.1555 · DOI
  19. Nikias, 1987, Bispectrum estimation: A digital signal processing framework, Vol. 75, 869
  20. Porat, 1991, Direction funding algorithms based on higher-order statistics, IEEE Trans. Signal Processing, Vol. 39, 2016, 10.1109/78.134434 · DOI
  21. Proakis, 1991, Blind equalization, Vol. 1565, 76
  22. Regalia, 1991, Rational subspace estimation using adaptive lossless filters, IEEE Trans. Acoust. Speech Signal Process.
  23. Scarano, 1991, Cumulant series exapansion of hybrid non-linear moments of complex random variables, IEEE Trans. Signal Processing, Vol. 39, 1001, 10.1109/78.80937 · DOI
  24. Shalvi, 1990, New criteria for blind deconvolution of nonminimum phase systems, IEEE Trans. Inform. Theory, Vol. 36, 312, 10.1109/18.52478 · DOI · Paper page
  25. Shamsunder, 1993, Modeling of non-Gaussian array data using cumulants: DOA estimation of more sourcdes with less sensors, Signal Processing, Vol. 30, 279, 10.1016/0165-1684(93)90014-2 · DOI
  26. Shore, 1980, Axiomatic derivation of the principle of maximum entropy, IEEE Trans. Inform Theory, Vol. 26, 26, 10.1109/TIT.1980.1056144 · DOI · Paper page
  27. Swami, 1989, ARMA systems excited by non-Gaussian processes are not always identifiable, IEEE Trans. Automat. Control, Vol. 34, 572, 10.1109/9.24220 · DOI
  28. Swami, 1990, ARMA parameter estimation using only output cumulants, IEEE Trans. Acoust. Speech Signal Process., Vol. 38, 1257, 10.1109/29.57554 · DOI
  29. A. Swami, G.B. Giannakis and S. Shamsunder, “A unified approach to modeling multichannel ARMA processes using cumulants”, IEEE Trans. Signal Process., submitted.
  30. Tugnait, 1987, Identification of linear stochastic systems via second and fourth order cumulant matching, IEEE Trans. Inform. Theory, Vol. 33, 393, 10.1109/TIT.1987.1057308 · DOI
  31. Tugnait, 1992, Comments on new criteria for blind deconvolution of nonminimum phase systems, IEEE Trans. Inform. Theory, Vol. 38, 210, 10.1109/18.108276 · DOI
  32. Wallace, 1958, Asymptotic approximations to distributions, Ann. Math. Statist., Vol. 29, 635, 10.1214/aoms/1177706528 · DOI

Cited by

Metadata

Authors
Comon, P.
Venue
Signal Processing
Publisher
Elsevier BV
Published
1994-04
Volume
36
Issue
3
Pages
287-314
ISSN
0165-1684 (ISSN-L)
OpenAlex
W2099741732
Cited by
8,205
References
0
FWCI
93.50
Type
journal article
Language
en
Open access
bronze
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.