Denoising sEMG Signals Using the Combination of Complementary EEMD with Adaptive Noise and Improved Threshold.
Yinghui HuXiaofeng ZongJinhua SheHiroshi HashimotoPublished in: ICPS (2019)
Keyphrases
- denoising
- spatially adaptive
- gaussian noise
- denoising algorithm
- noise suppression
- gaussian white noise
- noise removal
- additive gaussian noise
- denoising methods
- image denoising
- soft threshold
- soft thresholding
- total variation
- white noise
- adaptive threshold
- wiener filter
- noisy images
- wavelet shrinkage
- empirical mode decomposition
- noise level
- noise model
- low signal to noise ratio
- signal processing
- wavelet denoising
- hard thresholding
- image processing
- wavelet domain
- noisy environments
- edge preservation
- natural images
- random noise
- signal detection
- source separation
- vibration signal
- modulation scheme
- filtering method
- noise reduction
- impulsive noise
- wavelet packet
- stochastic resonance
- frequency domain
- image restoration
- weak signal
- image enhancement
- weak signal detection
- switching median filter
- wavelet based denoising
- multiresolution
- input image
- signal noise ratio
- independent component analysis
- signal to noise ratio
- impulse noise
- computer vision