Concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. A concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practicalexamples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject. A concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practical examples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject. This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniquesare kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the informationtransmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughoutthe book, using practical applications to illustrate theoretical definitions.Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject. INDICE: 1. Introduction Chung-Hsuan Wang; 2. Error-detecting codes Chung-Hsuan Wang; 3. Repetition and hamming codes Francis Lu; 4. Data compression: efficient coding of a random message; 5. Entropy and Shannon's source coding theorem; 6. Mutual information and channel capacity Jwo-Yuh Wu; 7. Achieving the Shannon limit by turbo coding; 8. Other aspects of coding theory Francis Lu.
- ISBN: 978-1-107-01583-8
- Editorial: Cambridge University
- Encuadernacion: Cartoné
- Páginas: 206
- Fecha Publicación: 26/01/2012
- Nº Volúmenes: 1
- Idioma: Inglés