This repository will be used soley to distribute and develop code for Veronica Estrada's project under Marcel Corchado's and Maria Kazachenko's mentorship.

Your First Task is to complete the One_Event_Analysis code, and recreate an image similar to the one inculded in this workspace.

Your second assignment is to complete the tasks in counting_peaks notebook. The focus is on building some signal processing knowledge, and tools used to characterize the period of oscillatory (clean/noisy) data. The notebook focuses on the use of the scipy.signal.find_peaks function to quantify the signal period. At the end you will see some tasks that will help you explore the concepts of the notebook with more analytical focus, and present some limitations of this method as we move forward and start using the spectral methods (Wavelet and Fourier Transforms)

Your third assignment is to complete the tasks in fourier_transform notebook. The goal is get familiared with Fourier Transform caculations and estimating the characteristic periods in the signals. This work will help us transition into using AFINO.