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小波分析作为一种崭新的信号处理方法，在工程界受到了越来越广泛的重视，已成功应用于信号分析、图像处理及非线性科学等方面。小波变换是去噪的有力工具，能将由各种不同频率成分组成的混合信号分解到不同的频率段上，有效地用于滤波和信噪分离。本文基于小波分解与重构理论，分别对航空弹射加速度信号滤波，与传统的消噪法进行了比较。结果表明小波去噪法用较少的数据就能很好地完成滤波功能，并且滤波的效果优于传统的方法。
As a new signal processing method, wavelet analysis has received more and more attention in the engineering field and has been successfully applied to signal analysis, image processing and nonlinear science. Wavelet transform is a powerful tool for denoising, which can decompose the mixed signal composed of different frequency components into different frequency bands and effectively use it for filtering and signal-noise separation. Based on the theory of wavelet decomposition and reconstruction, this paper respectively filters the signal of aviation ejection acceleration and compares it with the traditional denoising method. The results show that the wavelet denoising method can perform the filtering function well with less data, and the filtering effect is better than the traditional method.