S004110-现代数字信号处理(2)

发布者:沈如达发布时间:2018-04-23浏览次数:15

研究生课程开设申请表

 开课院(系、所):信息科学与工程学院       

 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

现代数字信号处理(2)

英文

Modern Digital Signal Processing(2)

待分配课程编号

S004110

课程适用学位级别

博士


硕士

总学时

54

课内学时

54

学分

3

实践环节

0

用机小时

0

课程类别

公共基础     专业基础     专业必修     专业选修

开课院()

信息科学与工程学院

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    大作业         

课程负责人

教师

姓名

吴镇扬、周琳

职称

教授、副教授

e-mail

zhenyang@seu.edu.cn

网页地址


授课语言

汉语

课件地址


适用学科范围

公共

所属一级学科名称

信息与通信工程

实验(案例)个数

0

先修课程

数字信号处理

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

数字信号处理-时域离散随机信号处理

丁玉美、阔永红、高新波

西安电子科技大学出版社

2002

第一版

主要参考书

数字信号处理

吴镇扬

高等教育出版社

2004

第一版

Adaptive Filter Theory(Fourth Edition)

Simon Haykin

电子工业出版社

2002

第一版


一、课程介绍(含教学目标、教学要求等)300字以内)

现代数字信号处理课程作为研究生课程,要求学生掌握随机信号处理理论、自适应滤波原理和功率谱估计内容,主要包括掌握数字信号的基本概念,掌握随机信号的种类、表征随机信号的统计特征参数,掌握宽平稳随机信号的定义、线性模型;掌握维纳滤波器的设计原理、设计方法和应用,掌握最小均方误差LMS(Least Mean Square)自适应滤波器的设计原理和方法,了解递归最小二乘RLS(Recursive Least Squares)自适应滤波器原理,了解不同RLS滤波器设计思想;掌握经典的周期图法、自相关法的功率谱估计方法,了解周期图法的改进算法;掌握基于自回归AR(Auto-Regression)模型的现代功率谱估计方法,了解滑动平均MAARMA模型的功率谱估计方法以及改进方法。


二、教学大纲(含章节目录):(可附页)

第一章  数字信号处理基本概念

讲授离散时间信号与系统的种类、特点,时域、频域分析方法,离散信号与系统的傅里叶变换、离散傅里叶变换的性质,窗函数对频谱分析的影响,时频分析概念,正交变换概念。

要求掌握傅里叶变换、离散傅里叶变换的各自性质,进行谱分析的异同,窗函数对谱分析作用,短时傅里叶变换性质。


第二章  随机信号分析基础

讲授随机信号的统计描述,包括概率密度表示、数字特征和功率谱表示,平稳随机信号的定义和特征,随机信号数字特征的估计,平稳随机信号经过线性系统的相关概念,平稳随机信号的三种时间序列模型。

要求掌握平稳随机信号的数字特征、功率谱密度,经过线性时不变系统后数字特征、功率谱计算。


第三章  随机信号滤波器设计

讲授针对平稳信号的维纳滤波器、针对非平稳信号的卡尔曼滤波器设计方法和应用,自适应滤波器概念,LMS滤波器设计原理和应用,RLS滤波器设计思想。

要求掌握维纳滤波器的基本原理、设计方法,LMS滤波器设计方法和应用。


第四章  功率谱估计

讲授经典的非参数估计方法-周期图法和自相关法及其性能,改进的周期图法及性质,基于ARMAARMA模型的现代谱估计方法,特征分解谱估计方法

要求掌握周期图法、改进的周期图法性质,AR模型的谱估计方法。


三、教学周历


(第1周主讲:吴镇扬,第2-17周主讲:周琳)

 周次

 教学内容

 教学方式

1

 简介

 讲课

2

 数字信号处理基础:离散信号与系统分类、性质,频谱分析

讲课

3

 数字信号处理基础:窗函数对频谱分析作用,短时傅里叶变换

讲课

4

 数字信号处理基础:小波变换,正交变换

讲课

5

 随机信号分析基础:随机信号的表征,平稳随机信号定义、特征,数字特征估计

讲课

6

 随机信号分析基础:随机信号经过线性系统性质,时间序列模型建模

讲课

7

 维纳滤波器设计原理,应用

讲课

8

 维纳滤波器应用,IIR维纳滤波器设计,卡尔曼滤波器设计

讲课

9

 自适应滤波器、LMS滤波器及其性能分析

讲课

10

LMS滤波器应用

讲课

11

RLS滤波器设计原理、分类、性质,与LMS滤波器比较

讲课

12

 经典谱估计方法-周期图法和自相关法,以及性能分析

讲课

13

 周期图法的改进方法以及性能分析

讲课

14

 现代谱估计方法-模型法,AR模型法以及性能分析

讲课

15

MA/ARMA谱估计,特征空间谱估计

讲课

16

 总结以及复习

讲课

17

 考试

 考试

 注:1.以上一、二、三项内容将作为中文教学大纲,在研究生院中文网页上公布,四、五内容将保存在研究生院。2.开课学期为:春季、秋季或春秋季。3.授课语言为:汉语、英语或双语教学。4.适用学科范围为:公共,一级,二级,三级。5.实践环节为:实验、调研、研究报告等。6.教学方式为:讲课、讨论、实验等。7.学位课程考试必须是笔试。8.课件地址指在网络上已经有的课程课件地址。9.主讲教师简介主要为基本信息(出生年月、性别、学历学位、专业职称等)、研究方向、教学与科研成果,以100500字为宜。

四、主讲教师简介:

周琳,19783月,女,副教授、博士,2000年毕业于东南大学无线电系(现信息科学与工程学院)信息工程专业,获工学学士学位,2000-2005年东南大学信息科学与工程学院硕博连读,200511月获得工学博士学位,在信息科学与工程学院从事教学和科研工作,研究方向为语音信号处理、空间听觉研究。参加了国家973项目、国家自然科学基金、总装项目等多个科研项目,发表论文20余篇,SCIEI收录10余篇。

吴镇扬,19491月,男,教授、博士生导师。1989年任东南大学无线电系(现信息科学与工程学院)信息工程教研室主任,1999-2008年任东南大学信息科学与工程学院副院长(无线电工程系副主任)。曾作为助理访问科学家在美国Wisconsin大学从事并行处理和空间听觉的研究,以及在香港大学电子与电气工程系从事信号处理和空间听觉的研究。目前,主要的社会兼职有:高等学校信息科学与工程专业教学指导分委员会委员;中国通信学会通信理论与信号处理委员会副主任委员。研究方向包括声学、语音信号处理,图像、视频信号处理,先后主持完成国家973重大基础研究项目,国家自然科学基金项目,863项目和总装预研项目。研究成果获国家科技进步三等奖、中船公司科技进步三等奖、公安部科技进步三等奖,并于2008年获得国家教学名师奖。


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

吴镇扬

信号与信息处理

83794363-1


13851855271

zhenyang@seu.edu.cn

东南大学信息科学与工程学院健雄院205

210096

周琳

信号与信息处理

83794363-3

85438393

13915964832

linzhou@seu.edu.cn

东南大学信息科学与工程学院健雄院203

210096


六、课程开设审批意见

所在院(系)



负责人:

期:

所在学位评定分

委员会审批意见



分委员会主席:

期:

研究生院审批意见




负责人:

期:


说明:1.研究生课程重开、更名申请也采用此表。表格下载:http:/seugs.seu.edu.cn/down/1.asp

2.此表一式三份,交研究生院、院(系)和自留各一份,同时提交电子文档交研究生院。




















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

现代数字信号处理(2)

English

Modern Digital Signal Processing(2)

Course Number

S004110

Type of Degree

Ph. D


Master

Total Credit Hours

54

In Class Credit Hours

54

Credit

3

Practice

0

Computer-using Hours

0

Course Type

Public Fundamental    □Major Fundamental    □Major CompulsoryMajor Elective

School (Department)

School of Information Science and Engineering

Term

Spring

Examination

A. □PaperOpen-book    □Closed-bookB. □Oral   

C. □Paper-oral Combination                       D. √ OthersReport

Chief

Lecturer

Name

Wu Zhenyang

Zhou lin

Professional Title

Professor,

Associate Professor

E-mail

zhenyang@seu.edu.cn

Website


Teaching Language used in Course

Chinese

Teaching Material Website


Applicable Range of Discipline

public

Name of First-Class Discipline

Information and Communication Engineering

Number of Experiment

0

Preliminary Courses

Digital signal processing

Teaching Books

Textbook Title

Author

Publisher

Year of Publication

Edition Number

Main Textbook

Digital signal processing-time discrete stochastic signal processing

Ding Yumei,

Kuo Yonghong

Gao Xinbo

XiDian University Press

2002

First Edition

Main Reference Books

Digital Signal Processing

Wu Zhenyang

Higher Education Press

2004

First Edition

Adaptive Filter TheoryFourth Edition

Simon Haykin

Publishing House of Electronics Industry

2002

First Edition


  1. Course Introduction (including teaching goals and requirements) within 300 words:

As the Graduate course, modern digital signal processing requires the student to master the stochastic signal processing theory, adaptive filter theory and power spectrum density estimation. The main content includes: master the statistical representationand characteristics of stochastic signal, definition of stationary stochastic process and stochastic model; master the design principle and application of Wiener filter, master the principle and method of LMS adaptive filter, understand the principle of RLS adaptive filter; master the classical PSD estimation method-Periodogram and autocorrelation algorithm, understand the modified Periodogram, master the modern PSD estimation method-AR model, understand the MA/ARMA model and the modified version.


  1. Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):

Chapter1 The Fundamental of Digital Signal Processing

The category and characteristic of discrete time signal and system

Discrete time Fourier Transform and Discrete Fourier Transform, the effect of window to the frequency analysis

Time-Frequency Analysis of signal, orthogonal transform


Chapter2  The Fundamental of Stochastic Signal Processing

Descriptions of Stochastic Signal

Definition and characteristic of stationary stochastic signal

Numerical characteristics Estimation of stochastic signal

Transmission of stationary signal through linear filter

Stochastic Model


Chapter3  The Design of Adaptive Filter

The principle and application of Wiener Filter and Kalman Filter

The principle and application of LMS adaptive filter and RLS adaptive filter


Chapter4  The Estimation of Power Spectrum Density

Classical PSD estimation- Periodogram and the modified method

PSD estimation method based on AR/MA/ARMA model

PSD method based on subspace Eigen-analysis



  1. Teaching Schedule:


Week

Course Content

Teaching Method

1

Introduction

lecture

2

Fundamental of digital signal processing: Category and characteristics of discrete time signal and system, frequency analysis

lecture

3

Fundamental of digital signal processing: the window effect of frequency analysis, short time Fourier transform

lecture

4

Fundamental of digital signal processing: wavelet transform, orthogonal transform

lecture

5

Fundamental of stochastic signal processing: the representation of stochastic signal, definition of stationary stochastic signal, numerical characteristics estimation

lecture

6

Fundamental of stochastic signal processing:: Transmission of stochastic signal through a linear filter, stochastic model

lecture

7

Principle and application of Wiener filter

lecture

8

Application of Wiener filter, design of IIR Wiener filter and Kalman filter

lecture

9

Principle of adaptive filter, principle and performance analysis of LMS adaptive filter

lecture

10

Application of LMS filter

lecture

11

Principle and characteristics of RLS adaptive filter, the comparison with LMS filter

lecture

12

principle and performance analysis of Periodogram

lecture

13

the modified Periodogram and performance analysis

lecture

14

PSD estimation based on AR model and the performance analysis

lecture

15

PSD estimation based on MA/ARMA model and subspace eigen-analysis

lecture

16

Summary and review

lecture

17

Examination

Exam

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)


  1. Brief Introduction of Chief lecturer:

Zhou Lin, Female, 1978.3, Associate Professor/PH.D. Graduate from Department of Radio Engineering (Now the School of Information Science and Engineering), Southeast University in 2000 with Bachelordegree. Receive the PH.D from the School of Information Science and Engineering, Southeast University in 2005. Engaged in research and teaching work in the School of Information Science and Engineering. The research filed is speech signal processing and spatial hearing. Participate in many research projects including National 973 project/ National Nature Science Foundation. More than 20 papers published in Journal, more than 10 papers indexed by SCI/EI.


Wu Zhenyang, Male, 1949.1, Professor/PHD Supervisor. Serve as the director of Information engineering department of Radio Engineering (Now School of Information Science and Engineering) in 1989. From 1999 to 2008, serve as the vice president of School of Information Science and Engineering. As an assistant visiting scientist engage in parallel processing and spatial hearing research in the University of Wisconsin, USA, and as a visiting scientist engage in signal processing and spatial hearing in Electrical and Electronic Engineering, University of Hong Kong. At present, major social part-time include: member of Colleges and Universities Information Science and Engineering Teaching guidance committee; vice chairman of China Institute of Communications Communication Theory and Signal Processing. The research area include acoustic signal and speech signal processing, image and video signal processing. As the manager, complete several research projects including Nation 973 project, Nation Natural Science Foundation, 863 project and Pre-Research project of General Armament Ministry. The Research achievement has obtained third class award of Nation Science Technology Progress, the third class award of CSSC Science and Technology Progress. In 2008, achieve the Nation Teacher Award.



  1. Lecturer Information (include chief lecturer)

Lecturer

Discipline

(major)

Office

Phone Number

Home Phone Number

Mobile Phone Number

Email

Address

Postcode

Wu Zhenyang

Signal and information Processing

83794364-1


13851855271

zhenyang@seu.edu.cn

Room 205,JianXiongYuan,Schoole of information Science and Engineering, Southeast University

210096

Zhou Lin

Signal and information Processing

83794364-3


13915964832

linzhou@seu.edu.cn

Room 203,JianXiongYuan,Schoole of information Science and Engineering, Southeast University

210096


11