Digital Filter Design Using Python for Power Engineering Applications: An Open Source Guide - Rilegato

Iyer, Shivkumar Venkatraman

Rilegato

ISBN 10: 3030618595 ISBN 13: 9783030618599

Casa editrice: Springer Nature, 2020

Riassunto

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.

Su questo libro

Informazioni sull?autore

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” courses in 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. 

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030618595
• ISBN 13: 9783030618599
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 208
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania