北京大学深圳研究生院《课程大纲-1819S1-数字信号处理及算法实现》针对工程应用型本科专业的教学特点,注重数字信号处理的基本理论、基本方法的系统介绍,强调实际应用。通过典型的应用实例、提供的源程序帮助读者理解和掌握基础理论及其基本应用,激发学生的自主学习兴趣。
《课程大纲-1819S1-数字信号处理及算法实现》
北京大学深圳研究生院
Peking University Shenzhen Graduate School
(2018-2019学年year第1学期semester)
课程大纲Syllabus
课程编号Course ID:04713610 开课学期Course Time:1819S1 总学时Total hours:48 学分Credit:3 课程名称Course Name:数字信号处理及算法实现 英文名称English Name:Digital Signal Processing and Algorithm Implementation 教学方式Teaching Style:课堂授课+学生项目 考试方式Examination Method:作业+课堂测验+项目 |
|
先修要求Prerequisites:《高等数学》、《工程数学》、《信号与系统》 主讲教师Lecturer:李革 辅助教师Teaching Assistant:黄侃,李宏 学科领域Field of study:电子工程类、通信、信号与信息处理 |
|
大纲执笔人Syllabus author:李革 |
制定年月Date :2018年4月 |
成绩评定方法Grading: Experiments/Assignments(上机实验和作业)占40%+Quiz/Student Projects (课题测验/独立学生项目)占50%+ Attendance (考勤)占10% |
|
大纲内容简介(300汉字以内): Brief introduction of the syllabus(300 words at most): 学习和掌握数字信号处理的基本理论,及其算法实现的基本方法,了解信号处理在工业界的实际应用(卫星通信系统、无线移动通信系统、语音系统等) 课程内容主要包括: 1) 数字信号与离散时间系统的时频分析方法(The analysis approaches of digital signal and discrete-time systems) 2) FIR/IIR滤波器结构和滤波器设计( FIR/IIR filter structures and design) 3) 多抽样率系统和滤波器组( Multirate Systems and Filterbanks) 4) DSP基础与算法实现(DSP basics and Algorithm implementation) 5) DSP在实际工业界的应用 (Practical industry application of DSP) |
|
大纲详细内容(2000汉字以内):(请按开课单元撰写,注明学时) Details of the syllabus(2000 words at most):(according to the units, state the class hours) 1. Introduction (3 hours): (1) The course outline; (2) Introduction to signals and systems; (3) Introduction to DSP Implementation (4) The typical applications of modern digital signal processing; 2. The analysis approach of analog and digital signals, continuous-time and discrete-time systems (18 hours): (1) Fourier Transform of continuous-time signal and system; (2) Discrete-time signal representation and basic operations; (3) Linear-Time Invariant systems (LTI); (4) Discrete Time Fourier Transform (DTFT) (5) Discrete Fourier Transform (DFT) (6) Circular convolution and Fast Fourier Transform (FFT) (7) Spectral Analysis by DFT. (8) z-transform and the LTI system analysis by z-transform (transfer functions,zero-pole analysis,frequency response); 3. Digital Filter Design (6 hours) (1) Introduction to Digital Filter Design (Finite Impulse Response Filters,Infinite Impulse Response Filters,Linear Phase FIR Filters and Allpass filters) (2) Digital IIR Filter Design (Filter Specification, Coefficient calculation, realization of filters,Butterworth, Chebyshev, and Elliptic filters) (3) Digital FIR Filter Design(Digital FIR filter design by Window Methods, Digital FIR filter design by The optimal method, Frequency Sampling Method for linear phase digital FIR filter design) 4. Multirate Signal Processing and Filterbanks(6 hours): (1) Sampling Theorem; (2) Decimation and interpolation; (3) The polyphase decomposition; (4) Design of practical sampling rate converters. (5) Digital filter banks, uniform filter banks and their relation to the DFT 5. Digital Filter implementation and Finite Wordlength effect(3 hours): (1) The effect of data representation in DSP; (2) The coefficient quantization effects in filter implementation; (3) The A/D Quantization effect; (4) Arithmetic Round-Off Errors; (5) Limit-cycle; (6) Analysis of round-off errors in the implementation of radix-2 FFT. 6. Introduction to Digital Signal Processors(3 hours): (1) General-purpose digital signal processors; (2) Introduction on the mainstream DSP processors; (3) The family of TI TMS320 processors; 7. DSP algorithm implementation and real industrial applications(6 hour) (1) Design flow of the real-time DSP system; (2) DSP implementation of signal spectral analysis by FFT; (3) DSP application in Satellite Communications; (4) DSP application in Wireless Cellular Communications; (5) DSP application in Speech/Audio systems. 8. Student project presentation (3 hours) |
|
教材Text book:无 |
|
参考资料Reading materials: 1) Alan V. Oppenheim, Ronald W.Schafer, “Discrete-Time Signal Processing” 3rd Edition,电子工业出版社,2011.1 (推荐学生购买,可作研究参考书); 2) Sanjit K. Mitra, “数字信号处理-基于计算机的方法” (第二版),孙洪, 余翔宇 译,电子工业出版社,2005 (推荐学生购买,可作研究参考书); 3) J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and Application, 3rd Ed., Prentice Hall, 1996; 4) Matlab sources: www.mathworks.com; 5) Free online book “The Scientist and Engineer's Guide to Digital Signal Processing”: (downloaded at https://www.dspguide.com/ )。 |
以上就是关于北京大学深圳研究生院数字信号处理的算法主要包括哪些内容?如果大家对考试还有什么疑问的话,可以去我们的官网上找客服老师咨询。