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Channel Modeling and Physical Layer Optimization in Copper Line Networks by Rainer Strobel; 9783030062545

Channel Modeling and Physical Layer Optimization in Copper Line Networks

By Rainer Strobel

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Description

Delve into the intricate world of telecommunications with Channel Modeling and Physical Layer Optimization in Copper Line Networks by Rainer Strobel. This comprehensive work provides an in-depth exploration of the methodologies and techniques crucial for optimising physical layer performance in copper line networks.

The Story

Strobel meticulously addresses the challenges faced in modern electronics engineering, particularly focusing on the interplay between channel modelling and digital signal processing (DSP). The book elucidates the theoretical foundations while offering practical insights that bridge the gap between concepts and real-world applications. Through detailed case studies and examples, readers will gain a clearer understanding of how to enhance signal integrity and performance in copper lines, a critical aspect of contemporary electronic communication.

Why Readers Love It

  • Thorough Analysis: The text offers a detailed examination of key principles, making complex topics accessible to both students and professionals.
  • Practical Applications: Real-world examples illustrate the application of theories, enhancing the reader's learning experience.
  • Innovative Techniques: The book introduces cutting-edge methods for optimising network performance, appealing to those at the forefront of electronics engineering.

Perfect For

This book is ideal for electronics engineers, researchers, and students pursuing advanced studies in signal processing and telecommunications. Whether you are looking to deepen your understanding or seeking innovative solutions in your work, Strobel’s insights will prove invaluable.

"A must-read for anyone involved in the evolving field of copper line communications." – Electronics Today

Specifications

Format: Paperback / softback
Dimensions: 155 mm × 235 mm
Pages: 200
Publisher: Springer Nature
ISBN: 9783030062545

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