Udemy - Basics of Digital Signal Processing for Power Engineers

[ FreeCourseWeb.com ] Basics of Digital Signal Processing for Power Engineers



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 93 lectures (14h 55m) | Size: 3.8 GB

Filter design using Python with examples related to power electronics

What you'll 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



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.



Who this course is for

Electrical engineering students and professionals



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