Performance Analysis of Acoustics Signal Denoising based on Wavelet Transform

摘要

The paper mainly discusses and researches the application of wavelet analysis in acoustics signal denoising. A series of experiments are performed in the noisy acoustics signal via different combinations of mother wavelet functions and thresholds. By analyzing the experimental results, we evaluate the performances of wavelet threshold denoising approaches with three evaluation standard: signal to noise ratio (SNR), root square mean error (RSME) and articulation. Then we can acquire an optimum project that how to select the Mother wavelet functions, the thresholds and decomposition scale, which will support an important reference value to denoise the noises.