Smartphone-based real-time classification of noise signals using subband features and random forest classifier.
Fatemeh SakiAbhishek SehgalIssa M. S. PanahiNasser KehtarnavazPublished in: ICASSP (2016)
Keyphrases
- subband
- feature vectors
- feature extraction
- filter bank
- feature set
- feature space
- wavelet transform
- bandpass
- low frequency
- wavelet coefficients
- image compression
- statistical moments
- frequency domain
- image features
- multiresolution
- subband coding
- wavelet decomposition
- bit rate
- locally adaptive
- high frequency
- image coder
- wavelet packet
- discrete wavelet transform
- support vector
- gabor filters
- reconstruction error
- wavelet domain
- pattern recognition
- support vector machine
- feature selection
- wavelet subbands
- machine learning
- wavelet packet transform
- generalized gaussian density
- image classification
- directional information
- high pass
- low pass
- additive noise
- signal processing