Intro#
Overview#
Today, we’ll cover time series analysis and digital signal processing, which are absolutely foundational topics in modern science and engineering.
From the moment a brain signal reaches the sensor—be it an electrode, magnetometer, or camera—to the eventual discovery in a new plot, the time series data is almost certainly represented as a digital signal and is preprocessed and analyzed using the techniques taught today.
Beyond neuroscience, the concept of separating a signal into its frequency components is a fundamental tool in many fields, including audio processing and engineering, many areas of theoretical and applied physics and chemistry, as well as finance and economics.
Check out the short intro video below for an overview of the topics we’ll cover today, and we hope you have a great time learning about signal processing!
Install and import feedback gadget#
Show code cell source
# @title Install and import feedback gadget
!pip3 install vibecheck datatops --quiet
from vibecheck import DatatopsContentReviewContainer
def content_review(notebook_section: str):
return DatatopsContentReviewContainer(
"", # No text prompt
notebook_section,
{
"url": "https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab",
"name": "neuromatch_cn",
"user_key": "y1x3mpx5",
},
).render()
feedback_prefix = "W2D2_Intro"
Video 1: Time Series and Signal Processing - Introduction#
Slides#
Submit your feedback#
Show code cell source
# @title Submit your feedback
content_review(f"{feedback_prefix}_Intro")