Renowned Cox Digital Watermarking Algorithm Implementation
MATLAB implementation of the renowned Cox digital watermarking algorithm source code, featuring robust watermark embedding and extraction capabilities for digital content protection.
Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
MATLAB implementation of the renowned Cox digital watermarking algorithm source code, featuring robust watermark embedding and extraction capabilities for digital content protection.
This source code generates a bifurcation diagram for chaos theory, demonstrating the transition from orderly behavior to chaotic dynamics through parameter variation. The implementation allows analysis of dynamical system characteristics using numerical simulation approaches with adjustable control parameters and iterative mapping functions.
This source code implements 2D Discrete Wavelet Transform based on the Mallat pyramid algorithm, providing multi-scale decomposition for signal and image processing applications.
Source code for the ultra-wideband (UWB) signal capture program developed by Professor Scholze's research laboratory at Stanford University, featuring advanced signal processing algorithms and modular implementation.
MATLAB-based image restoration source code implementing Wiener filter deconvolution technique, capable of precise restoration for blurred and noisy images through frequency domain processing and noise estimation algorithms.
MATLAB source code implementation for Linear Predictive Coding (LPC) spectral estimation of speech signals, featuring signal processing algorithms and key function implementations.
Classic mean shift algorithm source code implementation serving as a foundational kernel for extensive modifications and optimizations
MATLAB source code for LMS algorithm implementation with detailed explanations of adaptive filtering techniques and practical applications
Palmprint recognition source code requiring some modifications, but functional and operational
Source code for path planning using genetic algorithms, featuring practical implementation with successful test results and valuable technical documentation including algorithm explanations and key function descriptions