These codes follow Chapter 2 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
#Este repositorio tiene ejemplos de codigo y datos proporcionados en el libro "Data-Driven Science and Engineering"
Las fuentes son de libre acceso:
I.- Book Website: http://databookuw.com
II.- Book PDF: http://databookuw.com/databook.pdf
III.- https://www.youtube.com/c/Eigensteve
Ejemplos de código y datos.
1.-
2.- Ej1_Ch2_Fiurier_Series.ipynb
This code script will show how to compute the Fourier Series in Python.
3.- CH02_SEC01_2_Gibbs
This code script will show how to compute the Fourier Series in Python and Gibbs Phenomena that appear for discontinuous functions.
4.- CH02_SEC02_1_DFT
This code script show how to compute the Discrete Fourier Transform (DFT) matrix in Python. In practice, the DFT should usually be computed using the fast Fourier transform (FFT).
5.- CH02_SEC02_1_Denoising
This code script describes how to clean data with the Fast Fourier Transform (FFT) in Python.
6.- CH02_SEC04_1_SpectrogramChirp
This script describes how to compute the Spectrogram in Python.