{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:43:27Z","timestamp":1769553807515,"version":"3.49.0"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T00:00:00Z","timestamp":1541635200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["61201134"],"award-info":[{"award-number":["61201134"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the 111 project","award":["B08038"],"award-info":[{"award-number":["B08038"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s11277-018-6080-z","type":"journal-article","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T11:09:22Z","timestamp":1541675362000},"page":"1283-1300","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Blind Estimation of Underdetermined Mixing Matrix Based on Density Measurement"],"prefix":"10.1007","volume":"104","author":[{"given":"Weihong","family":"Fu","sequence":"first","affiliation":[]},{"given":"Xinbiao","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Nong","sequence":"additional","affiliation":[]},{"given":"Changle","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,8]]},"reference":[{"issue":"6","key":"6080_CR1","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1007\/s00034-013-9722-0","volume":"33","author":"G Qian","year":"2014","unstructured":"Qian, G., Li, L., & Luo, M. (2014). On the blind channel identifiability of MIMO-STBC systems using noncircular complex fastica algorithm. Circuits Systems & Signal Processing,\n                           33(6), 1859\u20131881.","journal-title":"Circuits Systems & Signal Processing"},{"issue":"3","key":"6080_CR2","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1109\/TNN.2007.911740","volume":"19","author":"M-S Pedersen","year":"2008","unstructured":"Pedersen, M.-S., Wang, D., Larsen, J., et al. (2008). Two-microphone separation of speech mixtures. IEEE Transactions on Neural Networks,\n                           19(3), 475\u2013492.","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"5","key":"6080_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.bspc.2014.02.009","volume":"13","author":"G Pendharkar","year":"2014","unstructured":"Pendharkar, G., Naik, G.-R., & Nguyen, H.-T. (2014). Using blind source separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in itw children. Biomedical Signal Processing and Control,\n                           13(5), 41\u201349.","journal-title":"Biomedical Signal Processing and Control"},{"issue":"1","key":"6080_CR4","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.sigpro.2012.08.010","volume":"93","author":"X-C Yu","year":"2013","unstructured":"Yu, X.-C., Xu, J.-D., Hu, D., et al. (2013). A new blind image source separation algorithm based on feedback sparse component analysis. Signal Processing,\n                           93(1), 288\u2013296.","journal-title":"Signal Processing"},{"key":"6080_CR5","unstructured":"Miettinen J., Nordhausen K., Sara Taskinen. Blind source separation based on joint diagonalization in R: The Packages JADE and BSSasymp. \n                    http:\/\/ydl.oregonstate.edu\/pub\/cran\/web\/packages\/JADE\/vignettes\/JADE-BSSasymp.pdf\n                    \n                  ."},{"issue":"1","key":"6080_CR6","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1111\/exsy.12008","volume":"31","author":"G-R Naik","year":"2014","unstructured":"Naik, G.-R., Kumar, D.-K., & Palaniswami, M. (2014). Signal processing evaluation of myoelectric sensor placement in low-level gestures: Sensitivity analysis using independent component analysis. Expert Systems,\n                           31(1), 91\u201399.","journal-title":"Expert Systems"},{"key":"6080_CR7","first-page":"24","volume":"4","author":"H-P Chen","year":"2013","unstructured":"Chen, H.-P., Zhang, H., & Zhang, J. (2013). Retrospective on-line EASI blind source separation algorithm. Journal of Signal Processing,\n                           4, 24\u201331.","journal-title":"Journal of Signal Processing"},{"issue":"4","key":"6080_CR8","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1109\/TNN.2005.849840","volume":"16","author":"P Georgiev","year":"2005","unstructured":"Georgiev, P., Theis, F., & Cichocki, A. (2005). Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Transactions on Neural Networks,\n                           16(4), 992\u2013996.","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"4","key":"6080_CR9","doi-asserted-by":"publisher","first-page":"3399","DOI":"10.1109\/TAES.2015.140939","volume":"51","author":"C Ma","year":"2015","unstructured":"Ma, C., Yeo, T.-S., Liu, Z., et al. (2015). Target imaging based on \u2113 1 \u2113 0, norms homotopy sparse signal recovery and distributed MIMO antennas. Aerospace & Electronic Systems IEEE Transactions on,\n                           51(4), 3399\u20133414.","journal-title":"Aerospace & Electronic Systems IEEE Transactions on"},{"issue":"C","key":"6080_CR10","first-page":"66","volume":"63","author":"L Vidya","year":"2015","unstructured":"Vidya, L., Vivekanand, V., Shyamkumar, U., et al. (2015). RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction. Neural Networks,\n                           63(C), 66\u201378.","journal-title":"Neural Networks"},{"issue":"1","key":"6080_CR11","first-page":"140","volume":"15","author":"W-H Fu","year":"2017","unstructured":"Fu, W.-H., Nong, B., Chen, J.-H., et al. (2017). Source recovery in underdetermined blind source separation based on RBF network. Journal of Beijing University of Posts & Telecommunications,\n                           15(1), 140\u2013154.","journal-title":"Journal of Beijing University of Posts & Telecommunications"},{"issue":"8","key":"6080_CR12","doi-asserted-by":"publisher","first-page":"2881","DOI":"10.1007\/s00034-015-0173-7","volume":"35","author":"X-S He","year":"2016","unstructured":"He, X.-S., He, F., & Cai, W.-H. (2016). Underdetermined BSS based on K -means and AP clustering. Circuits Systems & Signal Processing,\n                           35(8), 2881\u20132913.","journal-title":"Circuits Systems & Signal Processing"},{"issue":"6","key":"6080_CR13","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1109\/CC.2014.6879005","volume":"11","author":"Y Zhang","year":"2014","unstructured":"Zhang, Y., Cao, K., Wu, K., et al. (2014). Audio-visual underdetermined blind source separation algorithm based on Gaussian potential function. China Communications,\n                           11(6), 71\u201380.","journal-title":"China Communications"},{"key":"6080_CR14","unstructured":"Alshabrawy, O.-S., Ghoneim, M.-E., Awad, W.-A., et al. (2012). Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization. In: Computer science and information systems (Vol. 11, pp. 695\u2013700). IEEE."},{"issue":"9","key":"6080_CR15","doi-asserted-by":"publisher","first-page":"3367","DOI":"10.1007\/s00034-015-0198-y","volume":"35","author":"Y Li","year":"2016","unstructured":"Li, Y., Nie, W., Ye, F., et al. (2016). A mixing matrix estimation algorithm for underdetermined blind source separation. Circuits, Systems, and Signal Processing,\n                           35(9), 3367\u20133379.","journal-title":"Circuits, Systems, and Signal Processing"},{"issue":"9","key":"6080_CR16","doi-asserted-by":"publisher","first-page":"3367","DOI":"10.1007\/s00034-015-0198-y","volume":"35","author":"Y Li","year":"2016","unstructured":"Li, Y., Nie, W., Ye, F., et al. (2016). A mixing matrix estimation algorithm for underdetermined blind source separation. Circuits Systems & Signal Processing,\n                           35(9), 3367\u20133379.","journal-title":"Circuits Systems & Signal Processing"},{"issue":"10","key":"6080_CR17","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.1007\/s11432-008-0138-6","volume":"51","author":"Z-Y Yang","year":"2008","unstructured":"Yang, Z.-Y., Tan, B.-H., Zhou, G.-X., et al. (2008). Source number estimation and separation algorithms of underdetermined blind separation. Science China Information Sciences,\n                           51(10), 1623.","journal-title":"Science China Information Sciences"},{"issue":"P3","key":"6080_CR18","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1016\/j.neucom.2015.08.008","volume":"173","author":"J Sun","year":"2016","unstructured":"Sun, J., Li, Y., Wen, J., & Yan, S. (2016). Novel mixing matrix estimation approach in underdetermined blind source separation. Neurocomputing,\n                           173(P3), 623\u2013632.","journal-title":"Neurocomputing"},{"key":"6080_CR19","unstructured":"Ester, M., Kriegel, H.-P., & Xu, X. (1996). A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 1996 internationl conference on knowledge discovery and data mining (KDD \u201896) (pp. 226\u2013231)."}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11277-018-6080-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-018-6080-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-018-6080-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T19:17:17Z","timestamp":1573154237000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11277-018-6080-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,8]]},"references-count":19,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["6080"],"URL":"https:\/\/doi.org\/10.1007\/s11277-018-6080-z","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,8]]},"assertion":[{"value":"8 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}