MATLAB Implementation of Audio Watermarking Algorithm

The implementation process of audio watermarking algorithms involves three main stages: watermark embedding, common attack simulations, and detection algorithm execution. For watermark embedding, developers can employ either frequency-domain methods (such as Discrete Cosine Transform or Discrete Wavelet Transform) or time-domain approaches (like least significant bit modification) to embed watermark information into audio signals for copyright protection or authentication purposes. In MATLAB implementation, this typically involves functions like audioread() for signal input, fft()/dct() for domain transformation, and carefully designed embedding logic. Common audio watermark attacks simulated in code include signal-to-noise ratio alteration, filtering operations using functions like filter(), resampling through resample() function, cropping segments with array slicing, and compression using audio codecs. For effective watermark detection and extraction, algorithms such as correlation detection (using xcorr() for similarity measurement), spectral analysis through spectrogram() function, and time-frequency analysis techniques can be implemented to verify watermark presence and robustness. The complete workflow enables developers to establish a full-cycle audio data protection system covering embedding, attack resistance testing, and reliable detection mechanisms through structured MATLAB programming.