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Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Publisher: Tsinghua University.
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Aggiungi al carrellopaperback. Condizione: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 252 Publisher: Tsinghua University. Pub. Date :2011-6-1. 2007 book Information Theory and Coding. the second edition of the book. This book systematically introduces two parts: First. the Shannon information theory. the three basic concepts (source entropy. channel capacity and information rate-distortion function). and with these three concepts corresponding to the three coding theorem; Second. the letter source coding and channel coding of the basic principles and methods. In order to facilitate teaching and deepen understanding of the concept. and readers of self. thinking of each chapter is accompanied by questions and exercises. This book is not the pursuit of advanced mathematical derivation. as in simple. vivid language and encoding of the basic concepts of information theory to describe. with examples and charts graphically illustrate the basic concepts and principles. particularly suitable for teaching and learning. Has mastered the higher mathematics. and engineering mathematics engineering readers can read the book. Courseware book by htttp: www.tupwk.com.cndownpage download. This book can serve as institutions of higher learning communication engineering. information engineering. electronic engineering and related professional undergraduate. graduate teaching or teaching reference books are also available for professionals engaged in related research and engineering officers. Contents: Chapter 1 Introduction 1.1 Basic Concepts 1.1.1 General information on the concept of Shannon information defined in 1.1.2 1.1.3 A brief history of information theory and coding digital communication system model 1.2 1.3 Information theory and coding theory. the main content and significance of 1.3. an information theory research focuses 1.3.2 Shannon information theory for channel coding guide for 1.3.3 Shannon information theory on source coding guide for thinking about problems and exercises in Chapter 2 and the entropy source 2.1 sources 2.1.1 Classification of mathematical models and The mathematical model of the source classification 2.1.2 sourceFour Satisfaction guaranteed,or money back.