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其中FFT 的分辨率完全取决于采样时间长度 ，和采样率 ，与零填充无关。 频率分辨率 Δf 并没有变： 依旧是 ，因为“有效采样时长”没变。 只是增加了插值点：频谱曲线变得平滑，看起来像“更细”；实质是对原本 FFT 结果做了sinc 内插**。 方便峰值估计：QIFFT ...

有个老朋友找我看个信号的问题，差不多解决了，写一下给大家分享一下，感觉很多人也有用。 很简单，就是 AD7607+STM32F4 采集数据回来，采样率越高，FFT 后面的频点有偏移；然后给我取了一些数据，分析一下～ 采集实验基本情况 信号源设置：1 kHz 正弦波，2 Vpp。

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Abstract: The Fast Fourier Transform (FFT) is a foundational algorithm widely used in fields like digital signal processing and machine learning. While High-Level Synthesis (HLS) tools have boosted ...

The build system is driven by CMake. It is good practice to directly point to the MPI Fortran wrapper that you would like to use to guarantee consistency between Fortran compiler and MPI. This can be ...

In part 1 of this series, we looked at the formula for the inverse discrete Fourier transform and manually calculated the inverse transform for a four-point dataset. Then, we used Excel’s ...

The inverse Fourier transform (inverse FFT or iFFT) reverses the operation of the Fourier transform and derives a time-domain representation from a frequency-domain ...

I cannot get AC, Trans and FFT (Spectrum Analysis) data in the same analysis while AC, Trans and FOUR works. Comparing C300_FFT plots to C300_FOUR plots: For C300_FFT: ac.v(in), ac.v(out) and ...