用小波系数提取出音频的频域特征。比如lpc等特征。效果好！-Extracted using wavelet coefficients of the frequency-domain characteristics of the audio. Characteristics such as LPC. Good!

一维小波变换，基于Mallat算法编写，用Daubechies正交小波基作为卷积核对输入信号作卷积，对结果进行重排可得一维小波变换后的尺度系数和小波系数。-one dimensional wavelet transform based on Mallat algorithm is written, with Daubechies orthogonal wavelet base as a convolution convolution check input signal, the results

用keil4编写C代码实现小波变换，以Daubechies小波基进行常用波形的尺度系数和小波系数提取(C code written in keil4, wavelet transform, Daubechies wavelet basis for the commonly used waveform scale coefficients and wavelet coefficients extraction)