Information Theory and Coding Learning Guide and Selected Problem Solutions

Author: Fu Zi Yun
Publisher:
Publish Date: 2004-07-01
Features: This book is a supplementary teaching material for courses on Information Theory and Coding, designed to provide guidance and assistance for graduate students' course learning. It is also a companion to the undergraduate book "Learning Guide and Solutions to Exercises in Information Theory and Coding." The book focuses on Shannon's information theory as its core content, while also covering source coding, error-correcting codes, and network information theory. The book is divided into 8 chapters, each consisting of three parts: Basic Content and Key Points, Detailed Solutions to Exercises, and Selected Problem Solutions. The Basic Content and Key Points section provides a concise summary of the knowledge points in each chapter, while the other two sections offer detailed derivations and solutions to selected exercises. The selected exercises in the book are directly chosen from classic textbooks on similar topics both domestically and internationally. The book features clear concepts, detailed solutions, multiple approaches to solving problems, and is suitable for self-study. The exercises in the book are of medium and advanced difficulty, demonstrating broad and representative coverage, making them ideal for graduate-level learning. Therefore, the book is not limited to a specific textbook and can be used alongside various versions of similar textbooks. This book is suitable for reference by teachers and graduate students in universities and colleges majoring in communication, information, electronics, and related fields, as well as for professionals studying foundational theories in their respective fields.