MATLAB-Based Audio Watermarking White Noise Attack Experimental Source Code

This MATLAB-based source code provides a comprehensive framework for conducting audio watermarking experiments with white noise attacks. The program enables researchers to perform various tests to study and understand digital watermarking techniques through multiple attack scenarios including white noise interference. Key implementation features include configurable noise injection algorithms using MATLAB's awgn() function, wavelet-based watermark embedding/extraction methods, and SNR calculation modules for quantitative analysis. The system offers additional functionalities such as an interactive graphical user interface (GUI) built with App Designer, real-time data visualization tools using plot() and spectrogram() functions, and performance analysis modules that compute metrics like Bit Error Rate (BER) and Peak Signal-to-Noise Ratio (PSNR). These components collectively facilitate deeper understanding of audio watermarking robustness and practical applications in digital rights management.