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# Fourier Transform

## **Fourier Transform**

**is a technique to decompose signals into sine and cosine waves**

1. [**Deconstructing time series using FT**](https://medium.com/@khairulomar/deconstructing-time-series-using-fourier-transform-e52dd535a44e)
2. **Medium series, mostly on the math, parts** [**1**](https://medium.com/sho-jp/fourier-transform-101-part-1-b69ea3cb4837) [**2**](https://medium.com/sho-jp/fourier-transform-101-part-2-complex-fourier-series-934a885b3921) [**3**](https://medium.com/sho-jp/fourier-transform-101-part-3-fourier-transform-6def0bd2ca9b) [**4**](https://medium.com/sho-jp/fourier-transform-101-part-4-discrete-fourier-transform-8fc3fbb763f3) [**5**](https://medium.com/sho-jp/fourier-transform-101-part-5-fast-fourier-transform-fft-38c22e05ead3)

## Wavelets

1. Medium on [What is a wavelet and how do we use it for DS](https://towardsdatascience.com/what-is-wavelet-and-how-we-use-it-for-data-science-d19427699cef)
2. [Medium on the wavelet transform ](https://towardsdatascience.com/the-wavelet-transform-e9cfa85d7b34)
3. Medium [multiple time series classification using continuous wavelet transformation and scalograms](https://towardsdatascience.com/multiple-time-series-classification-by-using-continuous-wavelet-transformation-d29df97c0442)
4. [pywavelets](https://pywavelets.readthedocs.io/en/latest/) - PyWavelets is open source wavelet transform software for [Python](http://python.org/). It combines a simple high level interface with low level C and Cython performance.

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