Digital Filter Design using Python for Power Engineering Applications: An Open Source Guide

This book provides a comprehensive guide to designing digital filters for practicing engineers, using open source computational tools and incorporating fundamental signal processing theory. It breaks down complex concepts into simple language and includes practical examples and case studies to illustrate filter design in real-world applications.

Format: Paperback / softback
Length: 194 pages
Publication date: 02 December 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the intricate world of designing digital filters, catering specifically to practicing engineers. With a focus on utilizing open-source computational tools and integrating fundamental signal processing theory, the author aims to provide a practical guide for those seeking to excel in this field. The book strikes a perfect balance between theory and application, ensuring that readers gain a deep understanding of the underlying concepts while also being equipped with the necessary skills to translate them into real-world applications.

The author begins by breaking down complex signal processing theory into easily understandable language, making it accessible to engineers with varying backgrounds. This foundational knowledge is then applied throughout the book, providing readers with a practical introduction to digital filter design.

To enhance the practicality of the content, the author employs open-source computational tools, allowing readers to apply the theoretical concepts in a hands-on manner. By leveraging these tools, readers can design, analyze, and optimize digital filters with greater efficiency and accuracy.

In addition to covering the theoretical aspects, the book provides detailed descriptions of various tools and techniques used in filter design. These tools range from mathematical algorithms to software platforms, enabling readers to choose the most suitable approach for their specific needs. The author also walks readers through the steps needed to automate the entire filter design process, streamlining the workflow and reducing the time and effort required.

Throughout the book, real-world examples of digital systems in engineering are presented, along with a comprehensive description of how they are implemented in practice. These case studies provide valuable insights into the practical applications of digital filters and help readers connect the theoretical concepts with real-world scenarios.

Furthermore, the book includes detailed case studies where filter design is described in depth from inception to final implementation. These case studies showcase the practical challenges and considerations involved in designing filters for different applications, such as communication systems, audio processing, and image processing. By examining these case studies, readers gain a deeper understanding of the complexities and nuances of digital filter design and develop the skills needed to tackle complex engineering problems.

In conclusion, this book is an invaluable resource for practicing engineers seeking to enhance their skills in digital filter design. With its comprehensive coverage of theory, practical applications, and automation techniques, it provides readers with the tools and knowledge needed to succeed in this field. Whether you are a novice or an experienced engineer, this book will help you unlock the full potential of digital filters and contribute to the development of innovative and cutting-edge technologies.

Weight: 326g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030618629
Edition number: 1st ed. 2020