文档介绍：INFORMATION THEORYANDCODING BYEXAMPLEThis fundamental monograph introduces both the probabilistic and the algebraicaspects of information theory and coding. It has evolved from the authors’ yearsof experience teaching at the undergraduate level, including several CambridgeMathematical Tripos courses. The book provides relevant background material, awide range of worked examples and clear solutions to problems from real exampapers. It is a valuable teaching aid for undergraduate and graduate students, or forresearchers and engineers who want to grasp the basic Kelbertis a Reader in Statistics in the Department of Mathematics atSwansea University. For many years he has also been associated with the MoscowInstitute of Information Transmission Problems and the International Institute ofEarthquake Prediction Theory and Mathematical Geophysics (Moscow).Yuri Suhovis a Professor of Applied Probability in the Department of Pure Math-ematics and Mathematical Statistics at the University of Cambridge (Emeritus). Heis also af?liated to the University of S?ao Paulo in Brazil and to the MoscowInstituteof Information Transmission THEORYAND CODING BY EXAMPLEMARKKELBERTSwansea University, and Universidade de S?ao PauloYURI SUHOVUniversity of Cambridge, and Universidade de S?ao PauloUniversity Printing House, Cambridge CB2 8BS, United KingdomPublished in the United States of America by Cambridge University Press, New YorkCambridge University Press is part of the University of furthers the University’s mission by disseminating knowledge in the pursuit ofeducation, learning and research at the highest international levels of on this title:0521769358c?Cambridge University Press 2013This publication is in copyright. Subject to statutory exceptionand to the provisions of relevant collective licensing agreements,no reproduction of any part may take place without the writtenpermission of Cambridge University pu