Information Theory Coding信息论与编码（英文版） 梁建武 第1章 信息绪论新.ppt

Foundation of Information Theory 《信息论》 Related Item Teaching:(Concepts, methods, practical applications) Study independently:(Mathematics inferential reasoning, theorem proof) Test: Basic concepts, basic computation, practical applications Usually result: Attending class + Assignments Result: Test result + usually result Curriculum survey Goal ： Understand the functions、methods and significances to learn Info. Theory, and the research techniques and achievements of Info. Theory，learn the applications，for further studies Characteristics： Take the information theory as the center, tell the difference of source coding“ and channel coding primarily learn the concepts and physics significances， take the mathematics inferential reasoning as extracurricular Practice communications system applications Chapter 1. Introduction Information theory basic question - Shannon information measure Lossless source code theorem - Shannon first theorem Channel coding theorem - Shannon second theorem Limited loss source code theorem - Shannon third theorem Information theory applications 2.Importance of the Info. Theory Foundation The Info. Theory is the elementary theory of Info. Science and Technology, it is also the ground of Info. Science. Without the foundation of Info. Theory, one cannot be engaged in the corresponding field research and innovation, nor can he touch the edge of this discipline . (Must study, electing study, jumping study) In brief, the Info. Theory is the essential elementary knowledge to master for one who has high level information technology . 3.Teaching goal fully understands, skilled grasps the content of the teaching materials Skilled grasp the basic concepts and theorems of Info. Theory Skilled grasps in the mathematics description of the fundamental research object in the correspondence and the info. engineering has certain ability to solve problem and analysis by studying theories and doing exercises Learn how