Denoising method adapted for dynamic light scattering particle-sizing signals of short data

In dynamic light scattering(DLS) measurement, auto correlation method is used for signal denoising, whose denoising effect is affected by data amount. Based on different characteristics of noises and signals, wavelet packet transform is used in the signal , which can improve signal to noise ratio and particle inversion results. The DLS signal of 100 nm particles is denoised by the two methods and the auto correlation functions of the denoised signals are respectively inverted. The inversion error can be improved by 0.88%~6.41% after denoising by wavelet packet. Denoising results of different data amounts by the two methods show that, wavelet packet transform is more effective for short data, and when the data amount is greater than 1×106, the effects of the two denoising method