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About A Taste of Python Discrete and Fast Fourier Transforms
This paper presents a Python programming module for teaching undergraduate engineering students about the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) algorithms. The module uses Python libraries like NumPy, SciPy and Matplotlib to demonstrate how to compute DFTs and FFTs on signals. An example is provided that generates two sine waves, sums them as a time domain signal, takes the FFT to transform it to the frequency domain, and plots the results. The module aims to introduce students to Python programming while teaching a difficult digital signal processing topic.
Detailed Information
| Author: | ['Yadunandan Acharya'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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