Basics of Digital Signal Processing for Power Engineers
This course introduces signal processing to a power engineer with the objective of fulfilling one of the most pressing needs faced in power engineering - filter design. The course begins with a basic introduction to the concept of signal processing, discrete time systems and basic hardware applications. The course dives into the mathematics behind signal processing in order to translate many of the obscure concepts into plain English with the final objective of implementation in hardware. The course will then have code-along sessions where students will learn how filters are designed, analyzed and implemented using Python, Numpy, Scipy and Matplotlib. The course has a section on how to install and setup software on different operating systems and used only free and open source software, making the course and the materials accessible to students irrespective of their background.
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What people are saying
mr. shivkumar has explained
Very well presented...This course really helps me connect all the different pieces of my graduate DSP courses and I'm so glad that the fundamental concepts are now more clearer to me... Mr. Shivkumar has explained the theoretical concepts very well and provided a good base to start from.
about open source tools
It was a good course to learn about open source tools in designing digital filters.
my graduate dsp courses
his code alongs
His code alongs are easy to follow and the codes are detailed and well documented.
not sure yet
not sure yet but good to explore further good Enjoy the learning.
power electronics background
Coming from a power electronics background it really helps to visualize and make sense of filters being used.
will eagerly wait
I will eagerly wait for further course.
clear explanations
Clear explanations.
personally did
Personally didn't need sections 2, 3 & 4.
basics covered
basics covered well.
being used
brushed off
It helped brushed off few concepts and try it from scratch.
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