A frequency-domain normalized multichannel blind deconvolution algorithm for acoustical signals

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 354
  • Download : 0
In this paper, a new frequency-domain normalized MBD algorithm is presented for separating convolutive mixtures of acoustical sources. The proposed algorithm uses unidirectional unmixing filters to avoid backward filtering in gradient terms. The gradient terms are then normalized in the frequency domain. As a result, separation and convergence performances are improved, while whitening effect is relieved greatly. Simulation results with real world recordings demonstrate superior performances of the proposed algorithm.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2004
Language
English
Article Type
Article; Proceedings Paper
Citation

INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, v.3195, pp.524 - 531

ISSN
0302-9743
URI
http://hdl.handle.net/10203/78281
Appears in Collection
RIMS Journal Papers
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0