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基2FFT算法实现改进的一篇很好的文章,有利于傅立叶变换的理解-2FFT-based algorithm to improve a very good article, and is conducive to the understanding of Fourier Transform
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通过FFT算法在DSP中的实现,深刻理解数字频率与模拟频率的对应关系，结合仿真与DSP实现分析FFT的频率分辨率。-Through the FFT algorithm in the DSP in the realization of a deep understanding of digital and analog frequency corresponds to the relationship between frequency, combined with simulation and
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快速Fourier变换算法及Matlab程序实现，有助于初学者加深对fft的理解。-Fast Fourier Transform algorithm and Matlab procedures for implementation, will help beginners to deepen the understanding of the fft.
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matlab平台基于傅立叶变换的信号频谱分析深度理解和仿真，一看就能明白！-Based on the signal spectrum analysis matlab platform Fourier transform depth understanding and simulation, a look can understand!
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加深对离散信号的DTFT和DFT的及其相互关系的理解。；在理论基础上，加深对快速傅立叶变换的理解，熟悉FFT算法及其程序的编写；熟悉应用FFT对典型信号进行频谱分析的方法。-To deepen DTFT the discrete signal and DFT and its understanding of the relationship. On the basis of theory, deepen the understanding of fast Fourier transform,
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