Comparative evaluation of different wavelet thresholding methods for neural signal processing.
Gianluca BarabinoGiulia BaldazziEleonora SulasCaterina CarboniLuigi RaffoDanilo PaniPublished in: EMBC (2017)
Keyphrases
- comparative evaluation
- thresholding methods
- signal processing
- advantages and disadvantages
- wavelet thresholding
- wavelet packet transform
- wavelet transform
- denoising methods
- watermarking algorithm
- wavelet coefficients
- denoising
- image denoising
- image processing
- neural network
- image segmentation
- edge detector
- multi level thresholding
- pattern recognition
- multiscale
- wavelet domain
- noisy images
- filter bank
- edge detection
- wavelet packet
- multiresolution
- computationally efficient
- wavelet decomposition
- shift invariant
- feature extraction
- computer vision
- spatial domain
- high frequency
- image compression
- denoising algorithm
- spatially adaptive
- feature selection
- machine learning