http://www.dspguide.com/ch10/6.htm
The Discrete Time Fourier Transform (DTFT) is the member of the Fourier transform family that operates on aperiodic,
discrete signals. The best way to understand the DTFT is how it relates to the DFT. To start, imagine that you
acquire an N sample signal, and want to find its frequency spectrum. By using the DFT, the signal can be
decomposed into sine and cosine waves, with frequencies equally spaced between zero and one-half of the
sampling rate. As discussed in the last chapter, padding the time domain signal with zeros makes the period
of the time domain longer, as well as making the spacing between samples in the frequency domain narrower.
As N approaches infinity, the time domain becomes aperiodic, and the frequency domain becomes a continuous signal.
This is the DTFT, the Fourier transform that relates an aperiodic, discrete signal, with a periodic,
continuous frequency spectrum
第一步是数据清理和特征提取。您需要以适用于机器学习算法的格式准备数据。我向你推荐我的论文。它是关于从物联网信号中准备数据以进一步应用ML算法。你知道吗
欢迎来到SO。。。要利用此站点,请将鼠标悬停在问题的标签
fft
上方。。。然后单击View tag
。。。然后按learn more
。。。在阅读完fft上的信息页面后,点击Votes
查看这里投票率最高的帖子。。。这些问题/答案将使你进入球场我强烈建议你掌握这里解释的细节Discrete Fourier Transform - Simple Step by Step
傅里叶变换交互式指南
https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/
对傅里叶变换和FFT的直观理解
https://www.youtube.com/watch?v=FjmwwDHT98c
直观的离散傅里叶变换教程
http://practicalcryptography.com/miscellaneous/machine-learning/intuitive-guide-discrete-fourier-transform/
How to get frequency from fft result?
我可以继续从我的笔记中提到掘金,但我会留下这本优秀书籍的节选
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