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傅氏变换在频域有完全的局部化特性 ,但不含时域局部化信息 ,这为分析信号在某一时刻的信号特征带来不便。小波变换可对信号进行多尺度分析 ,容易提取信号特征。本文主要是用小波变换方法分析移频信号 ,并用不同的小波基对铁路移频信号进行了仿真 ,通过比较找到了合适的小波基 ,结合 FFT算法得到移频信号的有关参数 ,并在文末给出了一个成功分析的例子。这种方法优于在目前铁路中所用的分析方法 ,是铁路中信号检测中的新方法
Fourier transform in the frequency domain has a complete localization, but does not contain time-domain localization information, which analyzes the signal at a time of signal characteristics inconvenience. Wavelet transform can be multi-scale signal analysis, easy to extract signal characteristics. In this paper, the wavelet transform method is mainly used to analyze the frequency-shifted signals, and the railway frequency-shifted signals are simulated with different wavelet bases. The suitable wavelet bases are found by comparison with the FFT algorithm to obtain the parameters of the frequency-shifted signals. An example of successful analysis. This method is superior to the analytical methods used in the current railways and is a new method of signal detection in the railway