研究生课程开设申请表
开课院(系、所):金沙js800000
课程申请开设类型: 新开□ 重开√ 更名□(请在□内打勾,下同)
课程 名称 | 中文 | 信息论与编码 | ||||||||||
英文 | Information Theory and Coding | |||||||||||
待分配课程编号 | MS004203 | 课程适用学位级别 | 博士 | 硕士 | | |||||||
总学时 | 48 | 课内学时 | 48 | 学分 | 3 | 实践环节 | 6 | 用机小时 | >10 | |||
课程类别 | □公共基础 √专业基础 □ 专业必修 □ 专业选修 | |||||||||||
开课院(系) | 金沙js800000 | 开课学期 | 春季 | |||||||||
考核方式 | A.√笔试(√开卷 + √闭卷) B. □口试 C.□笔试与口试结合 D. □其他 | |||||||||||
课程负责人 | 教师 姓名 | 沈连丰 | 职称 | 教授 | ||||||||
lfshen@seu.edu.cn | 网页地址 | www.ncrl.seu.edu.cn | ||||||||||
授课语言 | 汉语 | 课件地址 | 科学出版社提供 | |||||||||
适用学科范围 | 一级学科 | 所属一级学科名称 | 信息与通信工程 | |||||||||
实验(案例)个数 | 2~3个或省略 | 先修课程 | 随机过程 | |||||||||
教学用书 | 教材名称 | 教材编者 | 出版社 | 出版年月 | 版次 | |||||||
主要教材 | 信息论与编码 | 沈连丰 叶芝慧 | 科学出版社 | 2004年9月 | 1 | |||||||
主要参考书 | Elements of Information Theory | Thomas M. Cover, Joy A. Thomas. | John Wiley & Sons, Inc. | 1991 | 1 | |||||||
Digital Mudulation and Coding | Stephen G. Wilson | Prentice-Hall, Inc. | 1996 | 1 | ||||||||
应用信息论基础 | 朱雪龙 | 清华大学出版社 | 2001 | 1 |
一、课程介绍(含教学目标、教学要求等)(300字以内)
本课程为“信息与通信工程”一级学科硕士研究生而开设,是“通信与信息系统”二级学科硕士研究生的专业基础课,计划学时54学时,3学分。
本课程教学方式以讲课为主,通过习题作业、讨论、课程论文、期终考试等环节,要求学生掌握信息的度量方法、Shannon的三个定理、Shannon公式、信源编码和信道编码基本理论和常用的方法等基础知识。
二、教学大纲(含章节目录):(可附页)
本课程内容如下。
信息科学及其发展
通信系统的基本概念
信息科学的基本概念
信息理论的研究内容
Shannon信息论梗概
本课程的主要内容及要求
思考题
信息的度量
度量信息的基本思路
信息量和熵
互信息量和平均互信息量
本章小结
习题
离散信源
离散信源的分类及其描述
离散信源的熵
信源的冗余度
信源符号序列分组定理
平稳离散信源及其性质
本章小结
习题
离散信源的编码
信源编码的目的和模型
信息传输速率和编码效率
单义可译定理
无失真信源编码定理(Shannon第一定理)
几种常用的信源编码
汉字编码方案及其讨论
图象消息的编码
误码对信源译码的影响
本章小结
习题
离散信道及信道编码
信道的分类及其描述
信道容量
有扰离散信道的传输特性
译码准则
有扰离散信道的信道编码定理(Shannon第二定理)
信道编码定理的应用举例
本章小结
习题
连续消息和连续信道
连续消息的信息度量
连续消息在信道上的传输问题
Shannon信道容量公式的含义及其应用
连续消息的识别和理想接收机
连续信源的数字处理及其编码
本章小结
习题
网络信息理论初步
多址信道及其传输特性
广播信道及其传输特性
本章小结
习题
信息率失真理论及其应用
对失真的描述
信息率失真函数
几种信源的信息率失真函数的计算
保真度准则下的信源编码定理(Shannon第三定理)
信息率失真理论的应用举例与信息价值
本章小结
习题
差错控制的基本概念
差错控制系统及其理论基础
纠错编码的基本概念及其本质
纠错编码方法的性能评价
本章小结
习题
线性分组码
近世代数的一些基础知识
线性分组码的编码
线性分组码的译码
线性分组码举例
本章小结
习题
循环码
循环码的描述
循环码的编码和译码
二元BCH码
多元BCH码和RS码
其它循环码
本章小结
习题
纠突发错误码
纠突发错误码的定义及其基本性质
常用纠错码纠突发错误的能力及译码方法
法尔码
交错码
纠突发和随机错误码
本章小结
习题
卷积码
卷积码的描述及其编码
卷积码的最大似然译码
卷积码的序列译码
多进制卷积码
恶性卷积码及译码的错误扩展
卷积码的性能分析及好码的概念
本章小结
习题
保密通信的理论基础
保密通信的技术体制及数学模型
传输线路保密技术的信息论基础
信息保密技术的基础知识
几种密码体制的介绍
本章小结
习题
信息理论的广泛应用
多媒体通信中的信源编码与信道编码
计算机通信网中的信源编码与信道编码
移动通信系统中的信源编码与信道编码
信息理论在其它学科的应用简介
本章小结
思考题
三、教学周历
周次 | 教学内容 | 教学方式 |
1 | 信息科学及其发展、信息的度量 | 讲课 |
2 | 信息的度量、离散信源 | 讲课 |
3 | 离散信源的编码(一) | 讲课 |
4 | 离散信源的编码(二) | 讲课、讨论 |
5 | 离散信道及信道编码 | 讲课 |
6 | 连续消息和连续信道 | 讲课 |
7 | 网络信息理论初步 | 讲课 |
8 | 信息率失真理论及其应用 | 讲课 |
9 | 信息论基础小结,讲解习题 | 讲课 |
10 | 差错控制的基本概念 | 讲课 |
11 | 线性分组码 | 讲课 |
12 | 循环码 | 讲课 |
13 | 纠突发错误码,卷积码(一) | 讲课 |
14 | 卷积码(二) | 讲课、讨论 |
15 | 保密通信的理论基础 | 讲课 |
16 | 信息理论的广泛应用,课程总复习 | 讲课、讨论 |
17 | 复习考试 | |
18 | 复习考试(如17周未安排) |
四、主讲教师简介:
沈连丰:1952年7月出生,男,1979~1982在南京工学院(现为金沙js800000)无线电通信专业攻读研究生,获硕士学位,毕业后留校任教至今。现任金沙js800000移动通信国家重点实验室教授、博士生导师,从事专业为通信与信息系统,研究方向有移动通信网络理论与技术、短距离无线通信和泛在网络、信息理论与编码等。1991~1993在香港生产力促进局做访问学者,1998~1999任香港通信科技中心高级顾问,1994~2008年多次在香港中文大学合作研究和讲学。作为项目负责人先后承担国家自然科学基金、国家科技攻关、国家863计划、国家973计划子课题、教育部和江苏省以及海外合作等项目数十项;已获授权发明专利12项;近年获教育部科技进步一等奖1项,江苏省科技进步一等奖1项、二等奖1项、三等奖2项,南京市科技进步二等奖1项,均为第一获奖人;获江苏省高等教育教学成果二等奖1项,为第二获奖人;近5年本人以及和学生、同事共同在学术刊物和国内国际学术会议上发表论文100多篇,其中SCI/EI收录80多篇;已出版专著和教材8部;2004年被授予“金沙js800000突出贡献科技工作者”称号,2006年被评为“信息产业科技创新先进工作者”(信息产业部),2007年获第二届“江苏创新创业人才奖”(中共江苏省委、江苏省人民政府)。
五、任课教师信息(包括主讲教师):
任课教师 | 学科(专业) | 办公电话 | 住宅 电话 | 手机 | 电子邮件 | 通讯地址 | 邮政 编码 |
沈连丰 | 通信与信息系统 | lfshen@seu.edu.cn | 移动通信国家重点实验室 | 210096 |
Application Form For Opening Graduate Courses
School (Department/Institute): School of Information Science and Engineering
Course Type: New Open □ Reopen Rename □(Please tick in □, the same below)
Course Name | Chinese | 信息论与编码 | |||||||||||
English | Information Theory and Coding | ||||||||||||
Course Number | MS004203 | Type of Degree | Ph. D | Master | | ||||||||
Total Credit Hours | 48 | In Class Credit Hours | 48 | Credit | 3 | Practice | 6 | Computer-using Hours | >10 | ||||
Course Type | □Public Fundamental Major Fundamental □Major Compulsory □Major Elective | ||||||||||||
School (Department) | School of Information Science and Engineering | Term | Spring | ||||||||||
Examination | A.Paper(Open-book Closed-book)B. □Oral C. □Paper-oral Combination D. □ Others | ||||||||||||
Chief Lecturer | Name | Shen Lianfeng | Professional Title | Professor | |||||||||
lfshen@seu.edu.cn | Website | www.ncrl.seu.edu.cn | |||||||||||
Teaching Language used in Course | Chinese | Teaching Material Website | www.sciencep.com | ||||||||||
Applicable Range of Discipline | Class 1 | Name of First-Class Discipline | Communication and Information System | ||||||||||
Number of Experiment | Preliminary Courses | Stochastic Processes | |||||||||||
Teaching Books | Textbook Title | Author | Publisher | Year of Publication | Edition Number | ||||||||
Main Textbook | Information Theory and Coding | Shen Lianfeng | Science Press | 2004 | 1 | ||||||||
Main Reference Books | Elements of Information Theory | Thomas M. Cover, Joy A. Thomas. | John Wiley & Sons, Inc. | 1991 | 1 | ||||||||
Digital Mudulation and Coding | Stephen G. Wilson | Prentice-Hall, Inc. | 1996 | 1 | |||||||||
Fundamentals of Applied Information Theory | Zhu Xuelong | Tsinghua University Press | 2001 | 1 |
Course Introduction (including teaching goals and requirements) within 300 words:
Information Theory and Codingis a technology fundamental course for the master students of discipline of Information and Communication Engineering, especially Communication and Information System. The students will learn and grasp the methods of information measurement, Shannon’s three theories and Shannon Formula, fundamental theories and methods of Source Coding, Channel Coding and Encryption by attending the lecture, homework, discussion, course paper and exam.
Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):
1. Information Science and Its Development
Base Conception of Communication System
Base Conception of Information Science
What the Information Theory Researches
Introduction to Shannon Information Theory
Outline of Course
Problems
2. Information Measurement
2.1 Concepts and thoughtway of Information Measurement
2.2 Information and Entropy
2.3 Mutual Information and Average Mutual Information
2.4 Conclusion
Problems
3. Discrete Information Source
3.1 Types and Description of Discrete Information Source
3.2 Entropy of Discrete Information Source
3.3 Redundancy of Information Source
3.4 Grouping Theory for Symbol Sequences of Information Source
3.5 Stationary Discrete Information Source and Its Performances
3.6 Conclusion
Problems
4. Encoding of Discrete Information Source
4.1 Aim and Mode of Source Encoder
4.2 Rate of Information and Coding Efficiency
4.3 Theory of Krift
4.4 Theory of Distortionless Information Source Coding (Shannon’s 1st Theory)
4.5 Some Samples of Source Coding
4.6 Schemes of Chinese Coding and Discussion
4.7 Coding of Image Message
4.8 Effects of the Error for Source Decoding
4.9 Conclusion
Problems
5. Discrete Channel and Channel Coding
5.1 Types of Channels and Description
5.2 Channel Capability
5.3 Characters of Disturbing Channel
5.4 Rules of Decoding
5.5 Theory of Disturbing Discrete Channel Coding (Shannon’s 2nd Theory)
5.6 Some Samples of Shannon’s 2nd Theory
5.7 Conclusion
Problems
6. Consecutive Message and Consecutive Channel
6.1 Information Measurement for Consecutive Message
6.2 Transmission of Consecutive Message in Channel
6.3 Shannon Formula and Its Application
6.4 Identification for Consecutive Message and Ideal Receiver
6.5 Digital Process and Coding for Consecutive Message
6.6 Conclusion
Problems
7. Introduction to Network Information Theory
7.1 Multi-access Channel and Its Transmission Characters
7.2 Broadcast Channel and Its Transmission Characters
7.3 Conclusion
Problems
8. Rate of Distortion Information Theory and Its Application
8.1 Description for Distortion
8.2 Function of Rate of Distortion Information
8.3 Calculation of Function of Rate of Distortion Information for Some Information Source
8.4 Source Coding Theory Based on Rule of Limited Distortion (Shannon’s 3rd Theory)
8.5 Application Samples of Rate of Distortion Information Theory and Information Value
8.6 Conclusion
Problems
9. Essential Concepts of Error Control
9.1 Error Control System and Its Theoretical Foundation
9.2 Essential Concepts of Error Detection and Correction
9.3 Performance Evaluation for Methods of Error Detection and Correction
9.4 Conclusion
Problems
10. Linear Block Codes
10.1 Mathematical Foundation
10.2 Encode of Linear Block Code
10.3 Decode of Linear Block Code
10.4 Some Samples of Linear Block Code
10.5 Conclusion
Problems
11. Cyclic Codes
11.1 Description of Cyclic Codes
11.2 Encode and Decode of Cyclic Codes
11.3 Binary BCH Codes
11.4 General BCH Codes and RS Codes
11.5 Others Cyclic Codes
11.6 Conclusion
Problems
12. Burst Error Correction Codes
12.1 Definition of Burst Error Correction Codes and Its Properties
12.2 Decode Methods and Performance Analysis for Burst Error Correction Codes
12.3 Fire Codes
12.4 Interleaving Codes
12.5 Burst and Random Errors Correction Codes
12.6 Conclusion
Problems
13. Convolution Codes
13.1 Description of Convolution Codes and Encoding
13.2 Maximum Likelihood Decoding
13.3 Sequential Decoding
13.4 M-ary Convolution Codes
13.5 Bad Convolution Codes and Error Expandability in Decoding
13.6 Performance Analysis and Good Convolution Codes
13.7 Conclusion
Problems
14. Information Theory Foundation of Secrecy Communication
14.1 Technique System and Mathematical Modeling of Secrecy Communication System
14.2 Information Theory Foundation of Transmission Encryption
14.3 Information Theory Foundation of Message Encryption
14.4 Samples of Encryption and Decryption
14.5 Conclusion
Problems
15. Wide Application of Information Theory
15.1 Source Coding and Channel Coding in Multi-media Communications
15.2 Source Coding and Channel Coding in Computer Network
15.3 Source Coding and Channel Coding in Mobile Communication Systems
15.4 Introduction to Application of Information Theory except for Communication
15.5 Conclusion
Teaching Schedule:
Week | Course Contents | Teaching Method |
1 | Information Science and Its Development, Information Measurement | Lecture |
2 | Information Measurement, Discrete Information Source | Lecture |
3 | Encoding of Discrete Information Source (1) | Lecture |
4 | Encoding of Discrete Information Source (2) | Lecture Discussion |
5 | Discrete Channel and Channel Coding | Lecture |
6 | Consecutive Message and Consecutive Channel | Lecture |
7 | Introduction to Network Information Theory | Lecture |
8 | Rate of Distortion Information Theory and Its Application | Lecture |
9 | Review and Solution of Problems | Lecture |
10 | Essential Concepts of Error Control | Lecture |
11 | Linear Block Codes, | Lecture |
12 | Cyclic Codes | Lecture |
13 | Burst Error Correction Codes, Convolution Codes (1) | Lecture |
14 | Convolution Codes (2) | Lecture Discussion |
15 | Information Theory Foundation of Secrecy Communication | Lecture |
16 | Wide Application of Information Theory, Review | Lecture Discussion |
17 | Review and Exam (If arrangement) | |
18 | Review and Exam (If arrangement) |
Note: 1.Above one, two, and three items are used as teaching Syllabus in Chinese and announced on the Chinese website of Graduate School. The four and five items are preserved in Graduate School.
2. Course terms: Spring, Autumn , and Spring-Autumn term.
3. The teaching languages for courses: Chinese, English or Chinese-English.
4. Applicable range of discipline: public, first-class discipline, second-class discipline, and third-class discipline.
5. Practice includes: experiment, investigation, research report, etc.
6. Teaching methods: lecture, seminar, practice, etc.
7. Examination for degree courses must be in paper.
8. Teaching material websites are those which have already been announced.
9. Brief introduction of chief lecturer should include: personal information (date of birth, gender, degree achieved, professional title), research direction, teaching and research achievements. (within 100-500 words)
Brief Introduction of Chief lecturer:
Shen Lianfeng was born in Jiangsu Province, China, on July 22, 1952. He received the B.S. degree in Radio Technology and M.S. degree in Radio Communications from Southeast University (former Nanjing Institute of Technology), Nanjing, China, in 1978 and 1982 respectively. Since 1982, he has been a teacher at the National Mobile Communications Research Laboratory, Southeast University. He is a professor and supervisor of Ph. D students. His research interests include the Theory and Technology of Mobile Communication Network, Short Distance Wireless Communication and Ambient Ubiquity Networks, Information Theory and Coding. He worked in the Telecom Technology Centre of Hong Kong (TTC) as a Senior Consultant in 1998 to 1999 and in the Productivity Council of Hong Kong (HKPC) as a visiting scholar and a consultant in 1991 to 1993. On the other hand, he joined the research groups of Department of Information Engineering and Department of Electronic Engineering of the Chinese University of Hong Kong (CUHK) many times as a co-researcher or visiting professor. He was the leader of projects including the National Natural Science Foundation of China (NSFC), the Key R&D Program of China, the National High Technology Research and Development Program of China (863 Program), sub-project of The National Basic Research Program of China (973 Program) and from Ministry of Education, Jiangsu Province and oversea cooperation. Up to 2008, he has gained 12 invention patents and over ten Government Awards including the First-class of the Science and Technology Prizes of the Government of Jiangsu Province, the First-class of the Science and Technology Prizes of the Ministry of Education of China and so on. He has published eight works and over 100 papers. He gained the honors including the Excellent Researcher of Southeast University on Outstanding Contribution to Science and Technology (2004), the Advanced Worker on Innovation of Information Technology by Ministry of Information Industry of China (2006) and the Award of Innovation and Former of Jiangsu Province by the Government of Jiangsu Province and Committee of Jiangsu Province of the CCP.
Lecturer Information (include chief lecturer)
Lecturer | Discipline (major) | Office Phone Number | Home Phone Number | Mobile Phone Number | Address | Postcode | |
SHEN Lianfeng | Communication and Information System | lfshen@seu.edu.cn | National Mobile Communications Research Lab | 210096 |