几种叶片音频去噪方法对比

Comparative on Several Blade Audio Denoising Methods

利用风场实际采集的叶片音频(其中夹杂了冷却风扇工作所产生的噪声)数据,展示了短时傅里叶变换、小波变换、FIR数字滤波等三种不同的叶片音频去噪效果。结合去噪直观原理,提出了一种基于差值法对含噪叶片音频去噪方法,比较不同种去噪方法的效果。结果表明,常规方法去噪效果良好,基于差值法的去噪方法,也可达到显著的效果。

Using the blade audio data actually collected by the wind field(which is mixed with the noise generated by the cooling fan),three different blade audio denoising effects such as short-term Fourier transform,wavelet transform,and FIR digital filtering are demonstrated.Combining the intuitive principle of denoising,a method based on the difference method for the audio denoising of noisy blades is proposed,and the effects of different denoising methods are compared.It is found that the conventional method has a good denoising effect,and the denoising method based on the difference method can also achieve significant effects.