0376331 20240111140815.820120911235959.9 000312381401247 10.1109/ICASSP.2012.6288273 4 s. P cav_un_epca*0376330978-1-4673-0045-21520-61491893-1896KyotoIEEE2012 nonnegative matrix deconvolution pattern extraction music decomposition cav_un_auth*0274170 Phan A. H. JP cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274171 Cichocki A. JP cav_un_auth*0230113 Koldovský Z. CZ http://library.utia.cas.cz/separaty/2012/SI/tichavsky-low-rank blind nonnegative matrix deconvolution.pdf 1172kB GA102/09/1278 GA ČR cav_un_auth*0253174 A novel blind deconvolution is proposed to seek for basis patterns and their location maps inside a nonnegative data matrix. Basis patterns can have different sizes, and shift in independent directions. Moreover, the location maps can be low-rank or rank-one matrices composed by two relatively small and tallmatrices or by two vectors. A general framework to solve this problem together with algorithms are introduced. The experiments on music and texture decomposition will confirm performance of our method, and of the proposed algorithms. cav_un_auth*0280772 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2012 Kyoto 25.03.2012-30.03. 2012 JP 2013 BB 4 PR RVO:67985556 http://hdl.handle.net/11104/0208760 2012 000312381401247 WOS 1172kB cav_un_epca*0376330 IEEE International Conference on Acoustics, Speech, and Signal Processing 2012 978-1-4673-0045-2 1520-6149 1893 1896 Kyoto IEEE 2012 CFP12ICA-USB