Different Approaches To Learning And Applying Digital Signal Processing In Power Electronics

Focus:

The different emphases placed on digital signal processing (DSP) by different math and engineering disciplines can be a source of confusion when learning the subject. If you learn DSP from a book like Digital Signal Processing, by Oppenheim and Schafer, or from Digital Filters, by R.W. Hamming, you will get a filter-oriented view of DSP. If you learn it by reading digital control books, you will acquire a control-oriented view. Or, if you learn it by reading numerical analysis (math) books, you might wonder how it is related to electronics (or engineering). What then is the most efficienct way to learn the subject, especially if you’re a power electronics engineer? This article explores this issue. It briefly explains the differences in how DSP is taught by the different disciplines, which source materials are the the most effective in teaching DSP, which key DSP concepts must be grasped by power electronics engineers, and how the different approaches and methods serve the varied design tasks encountered in power electronics.

What you’ll learn:

• How to understand the different ways that digital signal processing is taught—numerical methods vs. control vs. filtering
• How to understand the applicability of digital signal processing to power electronics

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Author & Publication:

Dennis Feucht, Innovatia Laboratories, Cayo, Belize, How2Power Today, Jul 15 2020

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