{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T15:13:30Z","timestamp":1760886810544,"version":"3.30.1"},"reference-count":17,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[1998,2,1]],"date-time":"1998-02-01T00:00:00Z","timestamp":886291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[1998,2]]},"DOI":"10.1016\/s0165-1684(97)00196-5","type":"journal-article","created":{"date-parts":[[2002,7,26]],"date-time":"2002-07-26T00:19:37Z","timestamp":1027642777000},"page":"291-300","source":"Crossref","is-referenced-by-count":101,"title":["Information\u2013theoretic approach to blind separation of sources in non-linear mixture"],"prefix":"10.1016","volume":"64","author":[{"given":"Howard Hua","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun-ichi","family":"Amari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrzej","family":"Cichocki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0165-1684(97)00196-5_BIB1","unstructured":"S. Amari, A. Cichocki, H.H. Yang, Recurrent neural networks for blind separation of sources, in: Proc. NOLTA 1995, vol. I, December 1995, pp. 37\u201342."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB2","unstructured":"S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, in: D.S. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.), Advances in Neural Information Processing Systems, vol. 8, MIT Press, Cambridge, MA, 1996, pp. 757\u2013763."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB3","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","article-title":"An information-maximisation approach to blind separation and blind deconvolution","volume":"7","author":"Bell","year":"1995","journal-title":"Neural Comput."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB4","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/S0893-6080(05)80090-5","article-title":"Blind separation of sources: a non-linear neural algorithm","volume":"5","author":"Burel","year":"1992","journal-title":"Neural Networks"},{"key":"10.1016\/S0165-1684(97)00196-5_BIB5","doi-asserted-by":"crossref","unstructured":"J.-F. Cardoso, B. Laheld, Equivariant adaptive source separation, IEEE Trans. Signal Process. 44 (12) (December 1996) 3017\u20133030.","DOI":"10.1109\/78.553476"},{"key":"10.1016\/S0165-1684(97)00196-5_BIB6","doi-asserted-by":"crossref","unstructured":"A. Cichocki, R. Unbehauen, Robust neural networks with on-line learning for blind identification and blind separation of sources, IEEE Trans. Circuits Systems 43 (11) (November 1996) 894\u2013906.","DOI":"10.1109\/81.542280"},{"key":"10.1016\/S0165-1684(97)00196-5_BIB7","unstructured":"A. Cichocki, R. Unbehauen, L. Moszczy\u0144ski, E. Rummert, A new on-line adaptive learning algorithm for blind separation of source signals, in: ISANN94, Taiwan, December 1994, pp. 406\u2013411."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB8","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","article-title":"Independent component analysis, a new concept","volume":"36","author":"Comon","year":"1994","journal-title":"Signal Process."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB9","unstructured":"M. Herrmann, H.H. Yang, Perspectives and limitations of self-organizing maps in blind separation of source signals, in: Progress in Neural Information Processing, Proc. ICONIP\u221796 Springer, Berlin, September 1996, pp. 1211\u20131216."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB10","unstructured":"T.-W. Lee, B.-U. Koehler, Blind source separation of nonlinear mixing models, in: Neural Network Signal Process. VII, 1997, to appear."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB11","doi-asserted-by":"crossref","unstructured":"J.K. Lin, D.G. Grier, J.D. Cowan, Source separation and density estimation by faithful equivariant som, in: Advances in Neural Information Processing Systems, vol. 9, MIT Press, Cambridge, MA, 1997, pp. 536\u2013542.","DOI":"10.1162\/neco.1997.9.6.1305"},{"key":"10.1016\/S0165-1684(97)00196-5_BIB12","unstructured":"P. Pajunen, A. Hyvarinen, J. Karhunen, Nonlinear blind source separation by self-organizing maps, in: Progress in Neural Information Processing: Proc. ICONIP\u221796, vol. 2, September 1996, pp. 1207\u20131210."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB13","doi-asserted-by":"crossref","unstructured":"D.T. Pham, Blind separation of instantaneous mixture of source via an ica, IEEE Trans. Signal Proc. 44 (11) (November 1996) 2768\u20132779.","DOI":"10.1109\/78.542183"},{"key":"10.1016\/S0165-1684(97)00196-5_BIB14","unstructured":"A. Taleb, C. Jutten, Nonlinear source separation: the post-nonlinear mixtures, in: ESANN\u201997, 1997, pp. 279\u2013284."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB15","doi-asserted-by":"crossref","unstructured":"H.H. Yang, S. Amari, Two Gradient Descent Algorithms for Blind Signal Separation, in: Proc. ICANN96, Lecture Notes in Computer Science, vol. 1112, Springer, Berlin, 1996, pp. 287\u2013292.","DOI":"10.1007\/3-540-61510-5_51"},{"issue":"7","key":"10.1016\/S0165-1684(97)00196-5_BIB16","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1162\/neco.1997.9.7.1457","article-title":"Adaptive on-line learning algorithms for blind separation: maximum entropy and minimum mutual information","volume":"9","author":"Yang","year":"1997","journal-title":"Neural Comput."},{"key":"10.1016\/S0165-1684(97)00196-5_BIB17","doi-asserted-by":"crossref","unstructured":"H.H. Yang, S. Amari, A. Cichocki, Information back-propagation for blind separation of sources from non-linear mixture, in: Proc. ICNN\u201997, Houston, June 1997, pp. 2141\u20132146.","DOI":"10.1109\/ICNN.1997.614237"}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168497001965?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168497001965?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T03:35:31Z","timestamp":1733456131000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168497001965"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,2]]},"references-count":17,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1998,2]]}},"alternative-id":["S0165168497001965"],"URL":"https:\/\/doi.org\/10.1016\/s0165-1684(97)00196-5","relation":{},"ISSN":["0165-1684"],"issn-type":[{"type":"print","value":"0165-1684"}],"subject":[],"published":{"date-parts":[[1998,2]]}}}