Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising.
Guohui LiQianru GuanHong YangPublished in: Entropy (2019)
Keyphrases
- acoustic signals
- denoising
- reduction method
- multiscale
- acoustic signal
- wavelet domain
- denoising algorithm
- gaussian noise
- denoising methods
- wavelet shrinkage
- noise removal
- image processing
- soft thresholding
- wavelet denoising
- image denoising
- translation invariant
- natural images
- noisy images
- noise detection
- wavelet coefficients
- total variation
- hard thresholding
- wavelet transform
- noise level
- selection algorithm
- singularity detection
- wavelet packet
- wavelet decomposition
- multiresolution
- noise reduction
- edge detection
- image segmentation
- frequency domain
- scale space
- filter bank
- decision trees
- image representation