Name
Title | ||
|---|---|---|
Convolutive blind source separation based on GDFT filterbanks and pre-determined subband whitening |
Abstract | ||
|---|---|---|
This paper focuses on the convolutive blind source separation. Confronted by drawbacks of time-domain and frequency-domain approaches, we propose a novel approach for source separation in subband-domain based on the pre-emphasis processing of subband signals. A time-domain algorithm based on the entropy maximization principle, using the natural gradient algorithm for adaptation task, is employed for subband signal separation. Instead of signal whitening based on frame-by-frame linear prediction analysis, we propose a fixed, pre-determined signal whitening scheme in the subbands to improve the separation performance while decreasing artifacts. With less computational complexity and side-effects, the proposed method is experimentally evaluated and shown to be superior to several other subband-based approaches. |
Year | Venue | Keywords |
|---|---|---|
2011 | Barcelona | blind source separation,channel bank filters,convolution,discrete fourier transforms,gradient methods,maximum entropy methods,time-domain analysis,gdft filterbanks,convolutive blind source separation,entropy maximization principle,fixed predetermined signal whitening scheme,natural gradient algorithm,preemphasis processing,subband signal separation,subband-domain,time-domain algorithm,speech,frequency domain analysis,convergence,amplitude modulation |
Field | DocType | ISSN |
Convergence (routing),Frequency domain,Entropy maximization,Algorithm,Linear prediction,Speech recognition,Amplitude modulation,Blind signal separation,Source separation,Mathematics,Computational complexity theory | Conference | 2076-1465 |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebrahim Ghanavati | 1 | 1 | 0.37 |
| Hamid Sheikhzadeh | 2 | 257 | 36.85 |
| Kaamran Raahemifar | 3 | 184 | 45.19 |
| Amin Kheradmand | 4 | 58 | 3.84 |