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Digital Filter Design using Python for Power Engineering Applications - An Open Source Guide (Hardcover, 1st ed. 2020):... Digital Filter Design using Python for Power Engineering Applications - An Open Source Guide (Hardcover, 1st ed. 2020)
Shivkumar Venkatraman Iyer
R3,125 Discovery Miles 31 250 Ships in 10 - 15 working days

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.

Digital Filter Design using Python for Power Engineering Applications - An Open Source Guide (Paperback, 1st ed. 2020):... Digital Filter Design using Python for Power Engineering Applications - An Open Source Guide (Paperback, 1st ed. 2020)
Shivkumar Venkatraman Iyer
R2,357 Discovery Miles 23 570 Ships in 10 - 15 working days

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.

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