《数字信号处理》

教学大纲

(双语教学)

安徽大学 计算机科学与技术 学院

2014 年 010 月

1

Digital Signal Processing

School of Computer Science and Technology

Anhui University

2

Course Description:

This course is an introduction to the basic principles and applications of digital signal processing. At the end of the course students will: understand the implications of the sampling theorem and the consequences of aliasing and quantization distortion; appreciate the importance of the z-transform and its properties, and the impulse response and transfer function of a digital filter; have an awareness of different structures available for the realization of finite impulse response (FIR) and infinite impulse response (IIR) digital filters; be familiar with ideal filter approximation functions; be able to design linear phase FIR and IIR filters to meet prescribed specifications; be able to use the discrete Fourier transform (DFT) and its fast form (FFT) to perform signal analysis, and be conscious of spectral leakage and smearing effects;

Course Code : ZX36086 Lecturers

Name Xiaopei Wu Position Professor Email wxp2001@ahu.edu.cn Prerequisite:

Fundamental Theory of Circuit; Signal and Linear System.

Credits : 3 Textbook :

Sophocles J. Orfanidis : “Introduction to Digital Signal Processing”

Prentice Hall ,1999

References (supplemental reading)

[1] Discrete-Time Signal Processing, Oppenheim and Schafer, Prentice-Hall, 1989. [2] 数字信号处理，程佩清，清华大学出版社(第四版)，2014

Teaching Methods

Teaching will be in the form of lectures with complementary tutorials and/or laboratory (laboratories). Tutorials will be informal, and may include a number of different support methods. For example: problem solving; general discussions; student presentations; resolving students’ difficulties.

The laboratory support, if any, will complement the lecture and reinforce students’ understanding of the material.

3

Duration of course: 1 semester

Total Hours: Lectures 42 hours

Tutorials* 6 hours * may be substituted with lectures/laboratories

Assessment Pattern:

Examination duration: 2 hours, at the end of the semester

Percentage of coursework, examination, etc.: 50% CW; 50% Exam Note: Coursework should be based on several different exercises distributed over the period of the semester: including homework assignments, short test, attendance, and presentations.

Teaching Schedule

Week Hours Contents 1. Introduction : Signal and Signal Processing 1.1 Characterization and Classification of Signals. Teaching Pattern 1 3 1.2 The objective of signal processing 1.3 Typical signal processing operations 1.4 Typical Applications of DSP 1.5 History and Features of DSP 2. Sampling and Reconstruction 2.1 Review of Fourier Series and Fourier Transform 2.2 convolution integral Lecture 2 3 Lecture Tutorial Lecture 3 3 2.3 Sampling Reconstructor Theorem and Analog 3. Discrete-time Signals and Systems 4 3 3.1 Basic sequences 3.2 Basic operations for sequence 5 3 3.3 Combination of basic operations Lecture Tutorial 4

Lecture