Convergence Analysis of Music Technology: From Audio Digital Watermarking to Denoising Algorithm

In the recent time, the efficient processing of music (or audio) signal considering the safety and performance has been the research hotspot. This study performs a convergence analysis of music technology from the audio digital watermarking to the denoising algorithm. Traditional music information processing methods are more focused on a single processing perspective, that is, improve the signal quality or signal security guarantee, respectively. The comprehensive tool for the analysis is lacking. Hence, this paper firstly proposes a novel audio digital watermarking algorithm considering the QR decomposition and DWT to construct the efficient scenario. Then, the novel denoising algorithm is studied. The reconstructed signal after hard threshold processing has disadvantages such as the discontinuity, oscillation and distortion. Then, the wavelet analysis model is applied into the algorithm to find the optimal value of threshold. After these 2 major innovations, the whole system is then constructed and implemented with experiment. The experimental data of the stereo modulator calibration method is scientific, and the overall experiment has certain robustness.