Aiming at problems of large temperature signal noise aquired by temperature sensor

analyze on characteristics of interference noise signal in the process of temperature acquisition

and the effects of the moving average filtering and the wavelet transform on signal denoising are studied. Aiming at acquired temperature signal

select suitable wavelet denoising method

and the optimal wavelet base and the number of hierarchical layers are determined

then temperature signal processed by translational sliding filtering algorithm

and the mean square error（ MSE）

signal to noise ratio（ SNR） and smoothness index of denoising signal

which determine de-noising effect the pros and cons. The experimental results show that the proposed de-noising algorithm can effectively re

move the interfering noise in the useful signal

and the signal-to-noise ratio can be increased by 10

12 dB in the case of no distortion.