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» Statistical signal processing approaches to fault detection
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NIPS
2000
13 years 9 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...
ICASSP
2011
IEEE
12 years 11 months ago
MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals
We present MPtracker, a new algorithm for tracking and separating the pitch frequencies of two speakers from their mixture. The pitch frequencies are detected by introducing a nov...
Mohammad Hossein Radfar, Richard M. Dansereau, Wai...
ISBI
2004
IEEE
14 years 8 months ago
Wavelet-Based fMRI Statistical Analysis and Spatial Interpretation: A Unifying Approach
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Dimitri Van De Ville, Thierry Blu, Michael Unser
DATE
2000
IEEE
136views Hardware» more  DATE 2000»
14 years 6 days ago
Parametric Fault Simulation and Test Vector Generation
Process variation has forever been the major fail cause of analog circuit where small deviations in component values cause large deviations in the measured output parameters. This...
Khaled Saab, Naim Ben Hamida, Bozena Kaminska
ICASSP
2011
IEEE
12 years 11 months ago
A collaborative filtering approach for quasi-brain-death EEG analysis
A novel method to evaluate the statistical significance differences between the groups of coma and brain death patients is presented. This is achieved based on the electroencepha...
Yili Xia, Ling Li, Jianting Cao, Martin Golz, Dani...