MATLAB Wavelet Transform Implementation Example with Mallat Algorithm
MATLAB wavelet transform example using the Mallat fast algorithm for frequency decomposition, low-frequency reconstruction, and denoising effect demonstration
Bearing Outer Race Fault Detection Using Wavelet Transform
Implementing Wavelet Transform for Bearing Outer Race Fault Diagnosis Through Signal Decomposition and Reconstruction Analysis
Image Matching Based on Wavelet Transform Feature Extraction Method
This algorithm implements image matching using wavelet transform-based feature extraction techniques, which decompose images into multi-frequency components for robust feature analysis and comparison.
Wavelet Transform-based Variable Step Size Adaptive LMS Algorithm for Speech Signal Denoising
A speech signal denoising program utilizing wavelet transform with variable step size adaptive LMS algorithm, demonstrating excellent performance against complex real-world noise scenarios with integrated thresholding and adaptive filtering implementation
MATLAB Code Implementation for Image Preprocessing
A comprehensive image preprocessing program implementing grayscale transformation, image filtering, image restoration, wavelet transform, morphological processing, and shape recognition with detailed code explanations
Noise Addition to Host Images After Wavelet Transform-Based Watermark Embedding and Grayscale Watermark Extraction
Applying noise processing to host images after wavelet-based watermark embedding and extracting grayscale watermarks with algorithm implementation details.
Wavelet Transform Example: Analyzing f(t) = sin(2π×500t) + sin(2π×1000t) + 1.5δ(t-165) + 1.5δ(t-207)
Wavelet Transform Implementation Example - Analyzing Signal Components and Time-Frequency Localization of f(t)=sin(2π×500t)+sin(2π×1000t)+1.5δ(t-165)+1.5δ(t-207) with Code Approach
Speech Signal Denoising Using Wavelet Transform in MATLAB
Speech signal denoising implementation in MATLAB environment, performing wavelet transform on noisy speech signals, applying threshold-based denoising principles, and reconstructing enhanced speech signals through inverse transformation with detailed algorithm explanation.
MATLAB Implementation of Wavelet Transform for Image Denoising
Wavelet transform-based denoising code for image processing, developed as part of a graduation project with implementation details including wavelet decomposition, thresholding techniques, and reconstruction algorithms
MATLAB Code Implementation of Wavelet Transform
This wavelet transform program, developed by scholars from Anhui University, demonstrates excellent performance in edge detection and serves as a valuable resource for wavelet transform beginners, featuring practical MATLAB implementations with configurable decomposition levels and threshold parameters.