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Digital Filter Design using Python for Power Engineering Applications [electronic resource] : An Open Source Guide / by Shivkumar Venkatraman Iyer.

By: Iyer, Shivkumar Venkatraman [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIII, 194 p. 171 illus., 41 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030618605.Subject(s): Signal processing | Power electronics | Digital and Analog Signal Processing | Power Electronics | Signal, Speech and Image ProcessingAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3822 Online resources: Click here to access online
Contents:
Introduction -- Introduction to discrete systems -- Getting started with signal processing -- Introduction to Python -- Implementing analog filters digitally -- Frequency response analysis -- Filter design -- Conclusion.
In: Springer Nature eBookSummary: 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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Introduction -- Introduction to discrete systems -- Getting started with signal processing -- Introduction to Python -- Implementing analog filters digitally -- Frequency response analysis -- Filter design -- Conclusion.

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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