Signal Processing in Python

About

This is a three-part workshop, aimed at graduate students and other researchers who would like to learn more about signal processing for image data. This workshop is open to employees of The Jackson Laboratory as well as those from neighboring institutions. The group will meet weekly, on Tuesday's, from 1:00pm - 3:00pm from February 11th - February 25th.

Signals communicate information. Signal processing separates unimportant from important information in a signal to make relevant information easily accessible. Biomedical signal processing extracts useful information from biological signals, such as the pattern found in a CT scan. The goal of is to eliminate noise from the signal by designing filters that best separate signal from noise. Identifying and measuring features that best characterize the information of interest in a signal is another goal of signal processing.

Prerequisites: Participants must have a basic competence with the Python programming language and the NumPy library. Participants must bring a laptop with a Mac, Linux, or windows operating system (not a tablet, chromebook, etc.).

For full course information please visit https://smcclatchy.github.io/2020-02-13-python-signal-processing/