38 search results - page 3 / 8 » Signal Discrimination Using a Support Vector Machine for Gen... |
ICASSP
2008
IEEE
14 years 15 days ago
2008
IEEE
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to deter...
ICCTA
2007
IEEE
2007
IEEE
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
13 years 6 months ago
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
WSCG
2004
13 years 7 months ago
2004
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
APBC
2003
13 years 7 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
IJON
2006
13 years 6 months ago
2006
Non-stationary signal classification is a complex problem. This problem becomes even more difficult if we add the following hypothesis: each signal includes a discriminant wavefor...