ECG Feature Extraction Using Wavelet Transform
ECG feature extraction through wavelet transform for cardiac signal analysis
Explore MATLAB source code curated for "小波变换" with clean implementations, documentation, and examples.
ECG feature extraction through wavelet transform for cardiac signal analysis
Source code implementation for digital audio watermark embedding algorithm utilizing wavelet transform - includes signal decomposition, coefficient modification, and reconstruction processes
MATLAB source code implementation for spectral preprocessing using wavelet transform
This program implements an image registration approach using wavelet transform for contour extraction. The algorithm first detects image edges through wavelet transformation, identifies the longest contour segment, computes curvature at each point along the contour, and performs data matching to determine optimal transformation parameters for precise image alignment. Key implementation involves multi-scale edge detection, curvature calculation algorithms, and feature-based matching techniques.
This program implements wavelet transform for online monitoring of power systems. Detection signals in power system monitoring often contain substantial background noise, making analysis challenging. The wavelet transform approach effectively addresses this issue. The implementation uses db3 wavelet for 5-level decomposition, producing detailed and approximation signals at each level through a multi-resolution analysis framework.
Image Texture Analysis Utilizing Wavelet Transform and Steerable Pyramid Algorithm for Multi-Scale Feature Extraction
Wavelet Transform in Fault Diagnosis 44118.1 Introduction 44118.2 Fundamental Principles 44218.3 Application of Wavelet Transform in Bearing Fault Diagnosis 44418.3.1 Outer Race Fault Diagnosis 44418.3.2 Rolling Element Fault Diagnosis 44818.4 Wavelet Transform in Gear Fault Diagnosis 45018.5 Wavelet Packet Analysis in Bearing Fault Diagnosis 45218.5.1 Outer Race Fault Diagnosis 45318.5.2 Rolling Element Fault Diagnosis 454
A segmentation method for urinary sediment images that implements preprocessing with wavelet transform and morphological operations, followed by edge detection and threshold segmentation techniques for enhanced accuracy.
Implementation of image compressive sensing using wavelet transforms with OMP reconstruction, featuring performance analysis and comparison across different sampling rates for evaluating compressive sensing efficiency.
MATLAB source code for multi-scale image edge detection using wavelet transform with implementation details and algorithm analysis