Source Code Implementation of Digital Audio Watermark Embedding Algorithm Based on Wavelet Transform

This paper presents the source code implementation of a digital audio watermarking algorithm based on wavelet transform. The algorithm leverages the properties of wavelet transformation to embed digital watermark information in the frequency domain of audio signals, thereby enabling copyright protection and identity authentication functionalities. The implementation involves three main computational stages: first, performing wavelet decomposition on the original audio signal using functions like wavedec() to obtain multilevel wavelet coefficients; second, modifying specific frequency band coefficients through quantization or substitution techniques to embed the watermark data; and finally, reconstructing the watermarked audio signal using wavelet reconstruction functions such as waverec(). The algorithm incorporates threshold-based coefficient selection strategies and energy preservation mechanisms to maintain audio quality while ensuring robust watermark embedding. By employing this approach, the algorithm effectively protects audio copyrights without perceptible quality degradation and enables reliable authentication of audio authenticity. Furthermore, the implementation demonstrates considerable robustness, capable of withstanding common signal processing attacks and noise interference through careful coefficient selection and error correction coding. Consequently, this wavelet transform-based digital audio watermarking algorithm holds significant application value in fields such as digital rights management and audio identity verification systems.