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Basics of Digital Signal Processing for Power Engineers

Filter design using Python with examples related to power electronics
4.7
☆☆☆☆☆ 4.7/5
(78 reviews)
860 students
Created by
Shivkumar Iyer

8.9

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7.6

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8.9

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9.5

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Filter design using Python with examples related to power electronics
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Platform: Udemy
Price: check current price
Video: 14h 55m
Language: English
Next start: On Demand

Table of contents

Description

  What you'll learn
  Requirements
  Who this course is for
Instructor
Recommended courses

Description

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.

You will learn

✓ Signal processing with analog filters
✓ Anaysis of analog filters
✓ The concept of discrete time systems in comparison to continuous time systems
✓ Analog to digital conversion theory
✓ Laplace transforms and it’s applicaton in analog filters
✓ Laplace transforms in the digital domain
✓ Continuous to discrete time conversion in the frequency domain
✓ Installing and setting up Python, Numpy and Matplotlib
✓ Generating and plotting signals
✓ Sampling signals and simulating discrete time systems
✓ Simulating the capacitor as a digital filter
✓ Simulating the inductor as a digital filter
✓ Simulating non-ideal capacitors and inductors as digital filters
✓ Simulating an LC filter digitally
✓ Using the signal package in Scipy
✓ Synthesizing transfer functions in Python with signal
✓ Generating Bode plots
✓ Using frequency response characteristics to design filters
✓ Designing and implementing a low pass and a notch filter

Requirements

• Basic electrical engineering, basic mathematics, basic programming

This course is for

• Electrical engineering students and professionals

More info about the instructor,

Shivkumar Iyer

Power electronics researcher and software developer
I did my Master’s and PhD in power electronics after which I spent several years working for both big companies like ABB and GE as well as a number of start-ups. I specialized in the field of power converter control and smart grids and have published prolifically in high impact international journals and conferences besides also being the author of two books.
I started programming at the age of 14 and over the past 20 years have programmed in several languages – C, C++, Python, JavaScript. I started taking a keen interest in open source software after I became a Linux user when I was a graduate student.
My expertise in electrical engineering and programming therefore resulted in me creating open source software for electrical engineers. I use open source software for teaching electrical engineering to students and practicing engineers with the typical theme of my courses being the application of programming to solve engineering problems.
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Go to class »
Filter design using Python with examples related to power electronics
Go to class »
Platform: Udemy
Price: check current price
Video: 14h 55m
Language: English
Next start: On Demand

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