Classification of underwater transient signals using MFCC feature vector.
Taegyun LimKeunsung BaeChansik HwangHyeonguk LeePublished in: ISSPA (2007)
Keyphrases
- feature vectors
- feature extraction
- feature set
- acoustic signals
- feature space
- similarity measure
- gaussian mixture model
- image features
- classification scheme
- texture features
- classification accuracy
- steady state
- svm classifier
- signal processing
- acoustic signal
- decision trees
- feature selection
- gabor filters
- support vector machine svm
- euclidean distance
- support vector machine
- classification method
- neural network
- classification models
- underwater acoustic
- hidden markov models
- pattern recognition
- color and texture information