Explore MATLAB source code curated for "分解" with clean implementations, documentation, and examples.
1. Example.m serves as the main driver script that orchestrates the 2D-EMD process by calling necessary subroutines when executed 2. 9.png contains the input data matrix that will be decomposed into multiple intrinsic mode functions (IMFs) through the EMD algorithm when running Example.m
Wavelet Packet Analysis extracts vibration signal decompositions, reconstructs feature frequencies from coefficients, and performs energy spectrum analysis calculations
This article focuses on utilizing MATLAB's built-in wavelet packet functions to perform image decomposition, compression, and reconstruction, with detailed explanations of implementation techniques and algorithm workflows.
MATLAB implementation of image pyramid decomposition and reconstruction algorithms, thoroughly tested with excellent performance results
Complete source code implementation for 1D Discrete Wavelet Transform (DWT) featuring decomposition and reconstruction using db6 wavelet. The implementation allows flexible customization of both mother wavelet and scaling function parameters. Includes comprehensive MATLAB tutorial with practical examples.
The crucial aspect of wavelet transform lies in determining the appropriate decomposition level and identifying modulus maximum points within that specific level.
HVS-based wavelet-domain digital image watermarking includes watermark embedding, extraction, decomposition, and reconstruction processes with multi-resolution analysis implementation
MATLAB implementation for decomposing linear FM signals into I and Q components with low-pass filter output, including signal generation, quadrature processing, and filter design considerations.
A well-established 2D Empirical Mode Decomposition implementation for image feature extraction and decomposition, featuring robust sifting processes and adaptive basis functions
This example demonstrates the decomposition and reconstruction process for wavelet denoising, including data files and code implementation details.