Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

Low-rank blind nonnegative matrix deconvolution

Phan A. H., Tichavský Petr, Cichocki A., Koldovský Z.

: IEEE International Conference on Acoustics, Speech, and Signal Processing 2012, p. 1893-1896

: IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2012, (Kyoto, JP, 25.03.2012-30.03. 2012)

: GA102/09/1278, GA ČR

: nonnegative matrix deconvolution, pattern extraction, music decomposition

: 10.1109/ICASSP.2012.6288273

: http://library.utia.cas.cz/separaty/2012/SI/tichavsky-low-rank blind nonnegative matrix deconvolution.pdf

(eng): 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.

: BB

2019-01-07 08:39