Audio Watermarking Program with DCT and Synchronization Signals
An audio watermarking implementation utilizing Discrete Cosine Transform (DCT), synchronization signals, and segmented audio processing for robust watermark embedding and extraction.
Explore MATLAB source code curated for "音频水印" with clean implementations, documentation, and examples.
An audio watermarking implementation utilizing Discrete Cosine Transform (DCT), synchronization signals, and segmented audio processing for robust watermark embedding and extraction.
A widely popular attack software designed specifically for testing the robustness of audio watermarks. Note: The official homepage link is currently inaccessible.
Implementation of audio watermarking system including embedding and extraction processes using MATLAB. Original audio files provided with detailed code documentation covering algorithms like DCT and LSB techniques.
MATLAB-based source code for audio watermarking white noise attack experiments, featuring multiple attack simulations, GUI interface, and data visualization tools for comprehensive digital watermark analysis.
Audio watermarking program with white noise integration, implementing 3-level wavelet decomposition to embed random sequences into low-frequency coefficients
Complete MATLAB source code for audio watermark embedding and extraction, ready to run with comprehensive implementation including key algorithms and functions
A collection of classic audio watermarking programs, some ready for immediate implementation while others require calibration and debugging before deployment
Audio watermarking source code that embeds pseudo-random sequences into audio signals, implementing digital signal processing techniques for information hiding through XOR operations and pseudo-random sequence generation.
Main test module for spread spectrum-based audio watermarking system with code implementation details
A complete audio watermarking example based on Discrete Wavelet Transform (DWT) that demonstrates watermark embedding and extraction algorithms, including frequency sub-band decomposition and coefficient manipulation techniques.