{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T01:14:38Z","timestamp":1714266878233},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2006,10,1]],"date-time":"2006-10-01T00:00:00Z","timestamp":1159660800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SCI CHINA SER F"],"published-print":{"date-parts":[[2006,10]]},"DOI":"10.1007\/s11432-006-2020-8","type":"journal-article","created":{"date-parts":[[2006,10,4]],"date-time":"2006-10-04T02:06:10Z","timestamp":1159927570000},"page":"639-652","source":"Crossref","is-referenced-by-count":26,"title":["Sparse representation and blind source separation of ill-posed mixtures"],"prefix":"10.1007","volume":"49","author":[{"given":"Zhaoshui","family":"He","sequence":"first","affiliation":[]},{"given":"Shengli","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Yuli","family":"Fu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"5","key":"2020_CR1","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1109\/31.76486","volume":"38","author":"L. Tong","year":"1991","unstructured":"Tong L, Liu R, Soon V C, et al. Indeterminacy and identifiability of blind identification. IEEE Trans Circuits and Systems, 1991, 38(5): 499\u2013506","journal-title":"IEEE Trans Circuits and Systems"},{"key":"2020_CR2","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1109\/78.489029","volume":"44","author":"X. R. Cao","year":"1996","unstructured":"Cao X R, Liu RW. General approach to blind source separation. IEEE Trans Signal Processing, 1996, 44: 562\u2013571","journal-title":"IEEE Trans Signal Processing"},{"key":"2020_CR3","first-page":"1413","volume":"11","author":"Y. Q. Li","year":"2000","unstructured":"Li Y Q, Wang J. Blind extraction of singularly mixed source signals. IEEE Trans Signal Processing, 2000, 11: 1413\u20131422","journal-title":"IEEE Trans Signal Processing"},{"issue":"3","key":"2020_CR4","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3724\/SP.J.1004.2008.00337","volume":"30","author":"J. L. Zhang","year":"2004","unstructured":"Zhang J L, Xie S L, He Z S. Separability theory for blind signal separation. Acta Automatica Sinica, 2004, 30(3): 337\u2013344","journal-title":"Acta Automatica Sinica"},{"issue":"3","key":"2020_CR5","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","volume":"10","author":"A. Hyvarinen","year":"1999","unstructured":"Hyvarinen A. A fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Networks, 1999, 10(3): 626\u2013634","journal-title":"IEEE Trans Neural Networks"},{"issue":"3","key":"2020_CR6","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","volume":"36","author":"P. Comon","year":"1992","unstructured":"Comon P. Independent component analysis, a new concept? Signal Processing, 1992, 36(3): 287\u2013314","journal-title":"Signal Processing"},{"key":"2020_CR7","first-page":"2109","volume":"4","author":"J. F. Cardoso","year":"1989","unstructured":"Cardoso J F. Source separation using higher order-moments. In: Proc ICASSP89, Glasgow, Scotland. 1989, 4: 2109\u20132112","journal-title":"Proc ICASSP89, Glasgow, Scotland"},{"key":"2020_CR8","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","volume":"7","author":"A. Bell","year":"1995","unstructured":"Bell A, Sejnowski T. An information maximization approach to blind separation and blind deconvolution. Neural Computation, 1995, 7: 1129\u20131159","journal-title":"Neural Computation"},{"key":"2020_CR9","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1162\/neco.1997.9.7.1457","volume":"9","author":"H. H. Yang","year":"1997","unstructured":"Yang H H. Adaptive on-line learning algorithms for blind separation-maximum entropy and minimum mutual information. Neural Computation, 1997, 9: 1457\u20131482","journal-title":"Neural Computation"},{"key":"2020_CR10","first-page":"757","volume-title":"Advances in Neural Information Processing (Proc. NIPS\u201995)","author":"S. Amari","year":"1996","unstructured":"Amari S, Cichocki A, Yang H H. A new algorithm for blind source separation. In: Advances in Neural Information Processing (Proc. NIPS\u201995). Cambridge, MA: MIT Press, 1996. 757\u2013763"},{"issue":"1","key":"2020_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF02917131","volume":"43","author":"Z. Y. He","year":"2000","unstructured":"He Z Y, Liu J, Yang L X. An ICA and EC based approach for blind equalization and channel parameter estimation. Sci China Ser E-Tech Sci, 2000, 43(1): 1\u20138","journal-title":"Sci China Ser E-Tech Sci"},{"issue":"2","key":"2020_CR12","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1109\/78.823988","volume":"48","author":"Z. Y. He","year":"2000","unstructured":"He Z Y, Yang L X, Liu J. Blind source separation using cluster-based multivariate density estimation algorithm. IEEE Trans Signal Processing, 2000, 48(2): 575\u2013579","journal-title":"IEEE Trans Signal Processing"},{"issue":"1","key":"2020_CR13","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1360\/03yf9003","volume":"46","author":"X. D. Zhang","year":"2003","unstructured":"Zhang X D, Zhu X L, Bao Z. Blind signal separation based on learning in stages. Sci China Ser F-Inf Sci, 2003, 46(1): 31\u201344","journal-title":"Sci China Ser F-Inf Sci"},{"issue":"11","key":"2020_CR14","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1016\/S0165-1684(01)00120-7","volume":"81","author":"P. Bofill","year":"2001","unstructured":"Bofill P, Zibulevsky M. Underdetermined blind source separation using sparse representations, Signal Processing, 2001, 81(11): 2353\u20132362","journal-title":"Signal Processing"},{"key":"2020_CR15","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1162\/089976604773717586","volume":"16","author":"Y. Q. Li","year":"2004","unstructured":"Li Y Q, Cichocki A, Amari S. Analysis of sparse representation and blind source separation. Neural Computation, 2004, 16: 1193\u20131234","journal-title":"Neural Computation"},{"key":"2020_CR16","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1162\/089976601300014385","volume":"13","author":"M. Zibulevsky","year":"2001","unstructured":"Zibulevsky M, Pearmutter B A. Blind source separation by sparse decomposition in a signal dictionary. Neural Computation, 2001, 13: 863\u2013882","journal-title":"Neural Computation"},{"key":"2020_CR17","first-page":"1","volume-title":"Proc SPIE volume 5102","author":"B. A. Pearlmutter","year":"2003","unstructured":"Pearlmutter B A, Potluru V K. Sparse separation: Principles and tricks. In: Proc SPIE volume 5102, \u201cIndependent Component Analyses, Wavelets, and Neural Networks\u201d, Orlando, FL: SPIE Org., 2003. 1\u20134"},{"issue":"4","key":"2020_CR18","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/97.752062","volume":"6","author":"T. W. Lee","year":"1999","unstructured":"Lee T W, Lewicki M S, Girolami M, et al. Blind source separation of more sources than mixtures using over-complete representations. IEEE Signal Process Lett, 1999, 6(4): 87\u201390","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"2020_CR19","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1162\/089976600300015826","volume":"12","author":"M. S. Lewiski","year":"2000","unstructured":"Lewiski M S, Sejnowski T J. Learning overcomplete representations. Neural Comput, 2000, 12(2): 337\u2013365","journal-title":"Neural Comput"},{"key":"2020_CR20","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1016\/S0042-6989(97)00169-7","volume":"37","author":"B. A. N. Olshause","year":"1997","unstructured":"Olshause B A N, Field D J. Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Res, 1997, 37: 3311\u20133325","journal-title":"Vision Res"},{"key":"2020_CR21","series-title":"Technicial Report","volume-title":"Blind source separation by sparse decomposition","author":"M. Zibulevsky","year":"1999","unstructured":"Zibulevsky M, Pearlmutter B A. Blind source separation by sparse decomposition. Technicial Report No. CS99-1. University of New Mexico, Albuquerque, July 1999, http:\/\/www.cs.unm.edu\/:_bap\/papers\/sparse-ica-99a.ps.gz"},{"key":"2020_CR22","volume-title":"Applied Multi-variables Statistical Analysis (in Chinese)","author":"X. R. Wang","year":"1990","unstructured":"Wang X R, Wang G S. Applied Multi-variables Statistical Analysis (in Chinese). Shanghai: Shanghai Scientific Press, 1990"}],"container-title":["Science in China Series F: Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-006-2020-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11432-006-2020-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-006-2020-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T11:35:31Z","timestamp":1559388931000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11432-006-2020-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,10]]},"references-count":22,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2006,10]]}},"alternative-id":["2020"],"URL":"https:\/\/doi.org\/10.1007\/s11432-006-2020-8","relation":{},"ISSN":["1009-2757","1862-2836"],"issn-type":[{"value":"1009-2757","type":"print"},{"value":"1862-2836","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,10]]}}}