A Simple Introduction to Digital Signal Processing
With Practical Applications in Python
4.60 (134 reviews)
1,079
students
14 hours
content
Jul 2023
last update
$64.99
regular price
What you will learn
How signals are represented by sinusoids.
What it means for a system to be linear and time-invariant.
How digital filters can be represented by difference equations.
What the frequency response of a system is.
What convolution is and why it is important in signal processing.
What it means for two signals to be correlated.
How the discrete Fourier transform can be used to identify the frequencies present in a signal.
Get a crash course in Python.
How Python can be used to produce practical applications of digital signal processing.
Related Topics
3641632
udemy ID
11/17/2020
course created date
6/22/2022
course indexed date
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