Digital Filter Design using Python for Power Engineering Applications: An Open Source Guide
Autor Shivkumar Venkatraman Iyeren Limba Engleză Paperback – 2 dec 2021
- Breaks down signal processing theory into simple, understandable language for practicing engineers;
- Provides readers with a highly-practical introduction to digital filter design;
- Uses open source computational tools, while incorporating fundamental signal processing theory;
- Describes examples of digital systems in engineering and a description of how they are implemented in practice;
- Includes case studies where filter design is described in depth from inception to final implementation.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 512.66 lei 43-57 zile | |
| Springer International Publishing – 2 dec 2021 | 512.66 lei 43-57 zile | |
| Hardback (1) | 684.67 lei 43-57 zile | |
| Springer International Publishing – dec 2020 | 684.67 lei 43-57 zile |
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Specificații
ISBN-13: 9783030618629
ISBN-10: 3030618625
Pagini: 194
Ilustrații: XIII, 194 p. 171 illus., 41 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030618625
Pagini: 194
Ilustrații: XIII, 194 p. 171 illus., 41 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Introduction to discrete systems.- Getting started with signal processing.- Introduction to Python.- Implementing analog filters digitally.- Frequency response analysis.- Filter design.- Conclusion.
Notă biografică
Shivkumar Iyer is the creator of the free and open source circuit simulator Python Power Electronics. He completed his Bachelors, Master’s and PhD in Electrical Engineering specializing in the field of power electronics. Subsequent to his PhD, he worked for five years in R&D positions in the power industry in India and Canada. He has published prolifically in international journals and conferences besides also being the author of a book “Simulating Nonlinear Circuits using Python Power Electronics” published with Springer International in 2018.
Shivkumar Iyer is now an independent researcher and educator. He has three online courses on MOOC platforms such as Udemy on using Python programming for electrical engineering. His first two courses “Simulating Power Electronic Circuits using Python” and “Basics of Digital Signal Processing for Power Engineers” have several hundred students enrolled from over 55 countries in the world and have been designated as “Bestseller” coursesin the category of electrical engineering. These online courses are video courses with presentations and code-along sessions. The objective of his teaching and research are to provide universally accessible education to aspiring engineers all over the world using open source computing tools such as Python.
Shivkumar Iyer is now an independent researcher and educator. He has three online courses on MOOC platforms such as Udemy on using Python programming for electrical engineering. His first two courses “Simulating Power Electronic Circuits using Python” and “Basics of Digital Signal Processing for Power Engineers” have several hundred students enrolled from over 55 countries in the world and have been designated as “Bestseller” coursesin the category of electrical engineering. These online courses are video courses with presentations and code-along sessions. The objective of his teaching and research are to provide universally accessible education to aspiring engineers all over the world using open source computing tools such as Python.
Textul de pe ultima copertă
This book is an in-depth description on how to design digital filters. The presentation is geared for practicing engineers, using open source computational tools, while incorporating fundamental signal processing theory. The author includes theory as-needed, with an emphasis on translating to practical application. The book describes tools in detail that can be used for filter design, along with the steps needed to automate the entire process.
- Breaks down signal processing theory into simple, understandable language for practicing engineers;
- Provides readers with a highly-practical introduction to digital filter design;
- Uses open source computational tools, while incorporating fundamental signal processing theory;
- Describes examples of digital systems in engineering and a description of how they are implemented in practice;
- Includes case studies where filter design is described in depth from inception to final implementation.
Caracteristici
Breaks down signal processing theory into simple, understandable language for practicing engineers Provides readers with a highly-practical introduction to digital filter design Uses open source computational tools, while incorporating fundamental signal processing theory Describes examples of digital systems in engineering and a description of how they are implemented in practice Includes case studies where filter design is described in depth from inception to final implementation