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» A new nonlinear similarity measure for multichannel signals
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MICCAI
2004
Springer
14 years 5 months ago
Multi-channel Mutual Information Using Scale Space
We propose a new voxel similarity measure which utilises local image structure as well intensity information. Gaussian scale space derivatives are used to provide the structural in...
Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek...
ICASSP
2011
IEEE
12 years 8 months ago
Hybrid approach for multichannel source separation combining time-frequency mask with multi-channel Wiener filter
This paper discusses a hybrid approach for the multi-channel source separation, where both a time-frequency (t-f) mask and a multichannel Wiener filter (WF) are utilized. T-f mas...
Shoko Araki, Tomohiro Nakatani
CSDA
2011
12 years 8 months ago
A nonparametric-test-based structural similarity measure for digital images
: In image processing, image similarity indices evaluate how much structural information is maintained by a processed image in relation to a reference image. Commonly used measures...
Haiyan Wang, Diego Maldonado, Sharad Silwal
ICASSP
2011
IEEE
12 years 8 months ago
Multichannel EEG analysis based on multi-scale multi-information
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Ying Liu, Selin Aviyente
ICASSP
2010
IEEE
13 years 5 months ago
An online quasi-Newton algorithm for blind SIMO identification
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
Emanuel A. P. Habets, Patrick A. Naylor