基于小波变换的玉米撞击声信号滤波方法

Signal Filtering Method with Corn Sound Clashing Based on Wavelet Transform

根据玉米撞击声信号的特点,将信号分解成一系列小波函数,用母小波函数经过平移与尺度伸缩获得小波函数,对信号的分解系数进行阈值量化,然后再用处理后的分解系数进行信号重构,从而得到满意的处理结果,成功地将小波变换理论应用于玉米撞击声信号的滤波处理中。

According to the trait of sound signal on corn clashing, the signal ss decomposed into a series of wavelet functions. The wavelet functions are obtained by a mother function shitting and scaling. Decomposed signal coefficients are estimated by threshold. The signal is reconstructed by the decomposed signal coefficients. The good processing results is gained. Wavelet transform theory is successfully used in filtering of sound signal on corn clashing.