Information, Coding and Data Security, (Hardcover)

<p><strong>This book</strong> provides a comprehensive foundation in the mathematical principles of information theory and their professional application in communications, electrical engineering, and computer science. The text establishes a rigorous theoretical framework, beginning with the fundamental concepts of <strong>Information Theory</strong>--such as entropy and mutual information--to explain the physical and mathematical necessity for efficient coding. It then provides an in-depth exploration of the two primary pillars of coding theory: <strong>Source Coding</strong>, including advanced quantization (analog-to-digital conversion) and high-efficiency compression (approaching the theoretical limits of interpretation), and <strong>Channel Coding</strong> for error detection and correction. The third part of the book integrates <strong>Data Security</strong>, covering modern cryptographic algorithms and secure network protocols essential for protecting information integrity. To a multidisciplinary extent, the content also explores the intersections of coding with <strong>Artificial Intelligence</strong> (Transformers and LSTMs) and the <strong>biological "Coding Brain."</strong> Designed for a professional and academic audience, this book is an essential resource for those developing projects in <strong>data science, industrial digital networks, IoT, and Big Data management.</strong> Through its lab-based approach and practical templates, it bridges the gap between high-level theory and real-world implementation.</p>

• Information, Coding and Data Security, (Hardcover)
• Author: Julio Cesar Garcia-Alvarez
• ISBN: 9783032311542
• Format: Hardcover
• Publication Date: 2026-12-19
• Page Count: 0