Information Theory Coding by Jiang Dan (5 results)

Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: New. Language:Chinese.Paperback. Publisher: China Science and Technology.

paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2001-08 Pages: 596 Publisher: China Science and Technology University Press sheet: 38 bookstore inventory purchased. unused.Four Satisfaction guaranteed,or money back.

paperback. Condition: New. Paperback. Pub Date: 2013 02 Pages: 400 Language: Chinese in Publisher: Publishing House of Electronics Industry Ordinary Higher Education 12th Five-Year Plan textbook Electronic Information boutique Textbooks: Theory and Coding foundation system discusses Shannon (. Shannon) information theory. the basic theory and coding theory and method. The contents include: the definition of information. since the information. mutual information. information entropy. the average mutual information. chan.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 797 Publisher: University of Science and Technology of China Press Pub. Date :2009-12. This book discusses the Shannon system the basic theory of information theory to introduce the basic method of coding. The book is divided into 12 chapters. Include: information definition. information theory. the basic idea; single symbol discrete source and channel of information entropy. mutual information. channel capacity. data processing theorem. the weighted entropy. the effectiveness of information entropy; multi-symbol discrete source and channel. the limit entropy independent parallel channels of the channel capacity; continuous source and channel. relative entropy. the Gaussian white noise additive channel channel capacity; lossless source coding theorem. Huffman coding method; anti-jamming channel coding theorem. linear block codes. Hamming and extended Hamming code; limit distortion source coding theorem. information rate - distortion function. data compression theory. the value of information. general information rate - distortion function; source - channel coding theorem; network information theory. This book can be used as universities. research institutes related to graduate students. high school or undergraduate teaching reference materials. are also available in the information theory. information technology and information science teaching. research and engineering officers. Contents: Third Edition Preface Preface Introduction Chapter I reprint a single source symbol discrete mathematical model of Section II source source symbol of the confidence the amount of Section IV source of information entropy entropy algebraic properties first five analytical nature of the Entropy Theorem VII. section VI. the mean maximum discrete entropy-constrained maximum entropy function of the discrete entropy VIII. IX. uniqueness theorems weighted entropy and its mathematical properties of the weighted entropy-only section X a theorem of Section XI Chapter exercises effective entropy of discrete single-channel symbol Section II the mathematical model of the channel interaction channel interaction conditions the amount of information Section III the amount of information the averageFour Satisfaction guaranteed,or money back.