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Filter design using Python with examples related to power electronics
An excellent training about Engineering
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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