This textbook provides a clear and accessible introduction to information theory and coding theory for beginners. Designed to facilitate a thorough understanding of the subject, it combines easy-to-follow explanations with numerous examples and extensive end-of-chapter exercises. The book covers essential topics such as entropy, source coding, channel coding, error-correcting codes, convolutional codes, and decoding.
Suitable for a 15-week undergraduate course, it also serves as an effective resource for self-paced self-study.
This textbook provides a clear and accessible introduction to information theory and coding theory for beginners. Designed to facilitate a thorough understanding of the subject, it combines easy-to-follow explanations with numerous examples and extensive end-of-chapter exercises. The book covers essential topics such as entropy, source coding, channel coding, error-correcting codes, convolutional codes, and decoding.
Suitable for a 15-week undergraduate course, it also serves as an effective resource for self-paced self-study.
Takashi Watanabe
Information Theory Coding Theory Shannon Markov Information Source Hamming Code BCH Code Reed-Solomon Code Goppa Code Decoding