局部傅里叶变换(LFT)是一种重要的纹理特征提取方法。

Local Fourier transform (LFT) is an important texture feature extracting method.

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采用了短时傅里叶变换方法对仿真信号进行了时频分析，得到了能够较好地反映目标特征的微多普勒图像。

Short time Fourier transform was used to analyze the simulated signal in the time-frequency domain, a micro-Doppler image that can demonstrate the target characteristics was generated.

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实践证明：用基于短时傅里叶变换的瀑布图来分析非平稳信号，具有分辨率高、特征提取结果更为精确的特点。

It proved that using the Waterfall based on Short-Time Fourier Transform to analyze non-balanced signal has many advantages such as.

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