{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:24:50Z","timestamp":1742966690253,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642236778"},{"type":"electronic","value":"9783642236785"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-23678-5_8","type":"book-chapter","created":{"date-parts":[[2011,8,23]],"date-time":"2011-08-23T12:04:42Z","timestamp":1314101082000},"page":"81-88","source":"Crossref","is-referenced-by-count":0,"title":["A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy"],"prefix":"10.1007","author":[{"given":"Yuanchang","family":"Sun","sequence":"first","affiliation":[]},{"given":"Jack","family":"Xin","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"suppl 1","key":"8_CR1","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1093\/ije\/dym284","volume":"37","author":"R. Barton","year":"2008","unstructured":"Barton, R., Nicholson, J., Elliot, P., Holmes, E.: High-throughput 1H NMR-based metabolic analysis of human serum and urine for large-scale epidemiological studies: validation study. Int. J. Epidemiol.\u00a037(suppl 1), i31\u2013i40 (2008)","journal-title":"Int. J. Epidemiol."},{"key":"8_CR2","unstructured":"Boardman, J.: Automated spectral unmixing of AVRIS data using convex geometry concepts. In: Summaries of the IV Annual JPL Airborne Geoscience Workshop, vol.\u00a01, pp. 11\u201314. JPL Pub., 93-26 (1993)"},{"volume-title":"Hyperspectral Data Exploitation: Theory and Applications","year":"2007","key":"8_CR3","unstructured":"Chang, C.-I. (ed.): Hyperspectral Data Exploitation: Theory and Applications. Wiley-Interscience, Hoboken (2007)"},{"key":"8_CR4","volume-title":"Principles of Nuclear Magnetic Resonance in One and Two Dimensions","author":"R. Ernst","year":"1987","unstructured":"Ernst, R., Bodenhausen, G., Wokaun, A.: Principles of Nuclear Magnetic Resonance in One and Two Dimensions. Oxford University Press, Oxford (1987)"},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"D.D. Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning of the parts of objects by non-negative matrix factorization. Nature\u00a0401, 788\u2013791 (1999)","journal-title":"Nature"},{"issue":"9","key":"8_CR6","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1016\/j.sigpro.2005.03.006","volume":"85","author":"W. Naanaa","year":"2005","unstructured":"Naanaa, W., Nuzillard, J.\u2013M.: Blind source separation of positive and partially correlated data. Signal Processing\u00a085(9), 1711\u20131722 (2005)","journal-title":"Signal Processing"},{"key":"8_CR7","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1006\/jmre.1998.1481","volume":"133","author":"D. Nuzillard","year":"1998","unstructured":"Nuzillard, D., Bourgb, S., Nuzillard, J.\u2013M.: Model-Free analysis of mixtures by NMR using blind source separation. J. Magn. Reson.\u00a0133, 358\u2013363 (1998)","journal-title":"J. Magn. Reson."},{"issue":"8","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1838","DOI":"10.1016\/j.sigpro.2011.02.007","volume":"91","author":"Y. Sun","year":"2011","unstructured":"Sun, Y., Ridge, C., del Rio, F., Shaka, A.J., Xin, J.: Postprocessing and Sparse Blind Source Separation of Positive and Partially Overlapped Data. Signal Processing\u00a091(8), 1838\u20131851 (2011)","journal-title":"Signal Processing"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Sun, Y., Xin, J.: Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and \u21131 Minimization, preprint (2011); under review and revision for publication","DOI":"10.1137\/110827223"},{"key":"8_CR10","unstructured":"Stadlthanner, K., Tom, A., Theis, F., Gronwald, W., Kalbitzer, H.-R., Lang, E.: On the use of independent analysis to remove water artifacts of 2D NMR Protein Spectra. In: Proc. Bioeng 2003 (2003)"},{"key":"8_CR11","unstructured":"Vitols, C., Weljie, A.: Identifying and Quantifying Metabolites in Blood Serum and Plasma. Chenomx Inc., (2006)"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Winter, M.E.: N-findr: an algorithm for fast autonomous spectral endmember determination in hyperspectral data. In: Proc. of the SPIE, vol.\u00a03753, pp. 266\u2013275 (1999)","DOI":"10.1117\/12.366289"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1021\/ci050316w","volume":"46","author":"W. Wu","year":"2006","unstructured":"Wu, W., Daszykowski, M., Walczak, B., Sweatman, B.C., Connor, S., Haselden, J., Crowther, D., Gill, R., Lutz, M.: Peak alignment of urine NMR spectra using fuzzy warping. J. Chem. Inf. Model.\u00a046, 863\u2013875 (2006)","journal-title":"J. Chem. Inf. Model."},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/s11426-008-0031-6","volume":"51","author":"W. Yang","year":"2008","unstructured":"Yang, W., Wang, Y., Zhou, Q., Tang, H.: Analysis of human urine metabolites using SPE and NMR spectroscopy. Sci. China. Ser. B-Chem.\u00a051, 218\u2013225 (2008)","journal-title":"Sci. China. Ser. B-Chem."}],"container-title":["Lecture Notes in Computer Science","Computer Analysis of Images and Patterns"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23678-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T04:02:54Z","timestamp":1560484974000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23678-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642236778","9783642236785"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23678-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}