噪声和振动信号的谐波小波时频表示

谐波小波变换的时频表示方法应用于持续时间、带宽和采样率差别很大的多种目标的噪声和振动信号处理当中，将其结果与基于STFT方法的结果进行了比对，并给出了其在不同应用场合的参数。结果表明，谐波小波方法用于信号的时频表示，具有很好的灵活性和突出的性能优点，有较好的应用前景。

Time-Frequency Distribution of Acoustic and Vibration Signals Based on Harmonic Wavelet Transformation

The advantage of the harmonic wavelet lies in two points, one is its flexibility of parameters set-up due to different conditions, the other is its rectangular shape in frequency domain. Time-fre- quency distribution based on the harmonic wavelet transformation provides better time and frequency resolution and higher contrast to the background than the method based on FFT does. This is beneficial for successive detection or identification process. In this paper, time-frequency distribution analysis based on the harmonic wavelet transformation is applied to multi-objective process of noise and vibration signals with large differences in time interval, bandwidth and sampling. The results are compared with those based on STFT method. The parameters used in the computation are given for different situations. The results show that this method has good flexibility and obvious advantage. Thus, it has good prospects in application. Its disadvantage is the large computer-time consuming.