Fractal Dimension and Wavelet Transform-Based Region Matching Method
Implementation of a region matching method using fractal dimension and wavelet transform through MATLAB with code integration
Image Denoising Using Contourlet Transform, Wavelet Transform, and Related Methods
Implementation of image denoising through contourlet transforms, wavelet transforms, and similar approaches, featuring fully functional code after debugging with excellent performance results
Survey on Respiratory Signal Extraction from ECG Signals
This comprehensive survey explores three distinct methodologies for extracting respiratory signals from electrocardiogram (ECG) data: frequency extraction techniques, filter-based filtering approaches, and wavelet transformation methods, providing detailed algorithmic insights and implementation considerations for each approach.
Texture Image Segmentation Using Wavelet Transform Coefficient Extraction
MATLAB source code for texture image segmentation implementing wavelet transform coefficient extraction with algorithm implementation details
EEG Signal Processing: Wavelet-Based Spectral and Power Spectrum Analysis
Implementation of EEG spectrum and power spectrum calculation with visualization. Core methodologies include wavelet transform, wavelet coefficient reconstruction, and computation of power spectra across frequency bands, with code-level explanations of signal processing algorithms.
Methods for Computing Instantaneous Characteristics Using Hilbert Transform and Estimating Signal Symbol Rate Using Wavelet Transform
Techniques for calculating instantaneous signal characteristics through Hilbert transform and estimating symbol rate using wavelet transform analysis
Image Denoising: A Critical Component in Image Processing
Image denoising represents an essential aspect of image processing, constantly requiring a balance between noise suppression and detail preservation. Wavelet transform has emerged as a powerful signal processing tool with successful applications in noise removal. Traditional orthogonal wavelet-based denoising methods often cause oscillations near edges leading to edge distortion, and can produce blurred edges under severe noise conditions. Redundant wavelet transform techniques overcome these limitations and significantly enhance denoising performance through improved signal representation.
PLS-Based Spectral Analysis with Data Reading
Implementation of PLS-based spectral analysis pipeline including data reading, wavelet transformation, PCA analysis, PLS modeling, and cross-validation
SAR Image Denoising Using Wavelet Transform
Implementation of SAR image denoising through wavelet transform, including experimental report, test images, and MATLAB code implementation with detailed algorithm explanations
Feature Extraction of Rubbing Fault Signals Using Wavelet Transform
Feature extraction of rubbing fault signals based on wavelet transform enables visualization of original signals, shaft centerline orbits, frequency spectra, and reconstructed signals from multi-level wavelet decomposition with MATLAB implementation approaches