Description
Basics of Digital Signal Processing for Power Engineers course. This course introduces signal processing to a power engineer with the goal of meeting one of the most pressing needs of power engineering, filter design. This course begins with a basic introduction to the concept of signal processing, discrete-time systems, and basic hardware applications. This course deals with the mathematics behind signal processing to translate many obscure concepts into plain English with the ultimate goal of implementation in hardware. The course will then have coded sessions where students will learn how to design, analyze and implement filters using Python, Numpy, Scipy and Matplotlib. This course has a section on how to install and run software on different operating systems and uses only free and open source software and makes lessons and materials available to students regardless of their background.
What you will learn in Basics of Digital Signal Processing for Power Engineers course
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Signal processing with analog filters
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Analysis of analog filters
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The concept of discrete time systems compared to continuous time systems
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Analog to digital conversion theory
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It is Laplace transformed and used in analog filters
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Laplace transforms in the digital domain
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Continuous to discrete time transformation in the frequency domain
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Installation of Python, Numpy and Matplotlib
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Generating and drawing signals
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Sampling of signals and simulation of discrete time systems
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Simulation of the capacitor as a digital filter
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Inductor simulation as a digital filter
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Simulation of non-ideal capacitors and inductors as digital filters
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LC filter simulation digitally
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Using the signal package in Scipy
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Synthesis of transfer functions in Python with signals
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Generate Bode plots
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Using frequency response characteristics to design filters
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Design and implementation of low pass and notch filter
This course is suitable for people who
- Electrical engineering students and professionals
Specifications of Basics of Digital Signal Processing for Power Engineers course
- Publisher: Udemy
- teacher: Shivkumar Iyer
- Training level: beginner to advanced
- Training duration: 14 hours and 55 minutes
- Number of courses: 93
Course headings
Course prerequisites
- Basic electrical engineering, basic mathematics, basic programming
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.87 GB
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