Improved Denoising with Robust Fitting in the Wavelet Transform Domain

In this paper, a scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the

The proposed method consists of random sampling-based artificial signal augmentation, wavelet packet transform decomposition, logarith- mic energy entropy, and one-dimensional region

Our method is based on the Stationary Wavelet Transform (SWT), and it consists of three steps: 1) extracting sub-bands from the histological image through SWT, 2) applying Analysis

In this work, the discrete non-decimated wavelet transform was applied to GC-content sequences; the de- tailed level coefficients are used to study similarities of MTB genome