Julio Cesar Garcia Alvarez: Information, Coding and Data Security, Gebunden

Klappentext

This book 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 Information Theory ---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: Source Coding , including advanced quantization (analog-to-digital conversion) and high-efficiency compression (approaching the theoretical limits of interpretation), and Channel Coding for error detection and correction. The third part of the book integrates Data Security , 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 Artificial Intelligence (Transformers and LSTMs) and the biological "Coding Brain." Designed for a professional and academic audience, this book is an essential resource for those developing projects in data science, industrial digital networks, IoT, and Big Data management. Through its lab-based approach and practical templates, it bridges the gap between high-level theory and real-world implementation.