Classification of digitally modulated signals in presence of non-Gaussian HF noise.
Alharbi HazzaMobien ShoaibSaleh A. AlshebeiliAlturki FahdPublished in: ISWCS (2010)
Keyphrases
- classification accuracy
- decision trees
- independent component analysis
- classification scheme
- low frequency
- image classification
- eeg signals
- pattern recognition
- high frequency
- support vector
- classification algorithm
- noisy environments
- biomedical signals
- median filter
- acoustic signals
- noise reduction
- signal to noise ratio
- noisy data
- high dimensional data
- classification method
- non stationary
- support vector machine svm
- signal processing
- feature vectors
- feature selection
- neural network
- support vector machine
- feature extraction
- image processing
- low signal to noise ratio
- machine learning