于是便提出了大量的变换和函数基［22】［27】，在这里面，小波变换和“窗口”Fourier变换（Window Fourier Transform）是其中较为经典的变换，在此简单比较一下二者区别，看看小波变换在信号处理里的优点所在。
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multi-window Fourier transform 多窗傅立叶变换
variable-window Fourier transform 变时间窗傅里叶变换
short window discrete Fourier transform 短时窗离散傅立叶变换
The window Fourier transform(WFT )is one solution to the problem of better representing the nonperiodic signal.
窗口傅里叶变换能够更好的解决关于非周期信号的表示问题。
A new method that USES the tight support window signal together with the fractional Fourier transform (FRFT) is discussed.
主要讨论了一种将加紧支撑窗与分数阶傅里叶变换相结合的信号处理方法。
The measuring accuracy has been improved due to adopting Inverse Fourier Transform based on adding window in frequency domain.
同时为了减少时域响应的泄漏，进一步提高测量精度，采用了基于频域加窗的逆傅里叶变换；
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