1
课程详述
COURSE SPECIFICATION
以下课程信息可能根据实际授课需要或在课程检讨之后产生变动。如对课程有任何疑问，请
联系授课教师。
The course information as follows may be subject to change, either during the session because of unforeseen
circumstances, or following review of the course at the end of the session. Queries about the course should be
directed to the course instructor.
1.
课程名称 Course Title
信号处理与数据分析基础
Fundamentals of Signal Processing and Data Analysis
2.
授课院系
Originating Department
地球与空间科学系
Department of Earth and Space Sciences
3.
课程编号
Course Code
ESS206
4.
课程学分 Credit Value
4
5.
课程类别
Course Type
专业核心课 Major Core Courses
6.
授课学期
Semester
春季 Spring
7.
授课语言
Teaching Language
中英双语 English & Chinese
8.
授课教师、所属学系、联系方
式（如属团队授课，请列明其
他授课教师）
Instructor(s), Affiliation&
Contact
（For team teaching, please list
allinstructors）
韩鹏，地球与空间科学系
邮箱：hanp@sustech.edu.cn
电话：0755-88015515
办公室：创园 9 栋 307
Peng Han, Department of Earth and Space Sciences
Email: hanp@sustech.edu.cn
Tel: 0755-88015515
Office: Innovation Park #9-307
9.
实验员/助教、所属学系、联系
方式
Tutor/TA(s), Contact
待公布 To be announced
10.
选课人数限额(可不填)
Maximum Enrolment
（Optional）
2
11.
授课方式
Delivery Method
讲授
Lectures
实验/实习
Lab/Practical
其它(请具体注明)
Other（Please specify）
总学时
Total
学时数
Credit Hours
64
64
12.
先修课程、其它学习要求
Pre-requisites or Other
Academic Requirements
MA101B 高等数学（上）A、MA107A 线性代数 A
MA101B Calculus I A and MA107A Linear Algebra A
13.
后续课程、其它学习规划
Courses for which this course
is a pre-requisite
14.
其它要求修读本课程的学系
Cross-listing Dept.
教学大纲及教学日历 SYLLABUS
15.
教学目标 Course Objectives
本课程主要讲授数字信号采集、处理的基本理论、方法以及观测数据的去噪、时频分析等，并对前沿的数据处理方法
进行介绍。为本专业学生了解地球物理数据的采集过程、原理及地球物理专业数据分析提供基础知识和理论储备。
This is a specialized course for students in Geophysics or other related areas. This course mainly focuses on the
fundamental theory of signal acquisition and processing, denoising, time-frequency analysis. It also introduces frontier
data analysis methods. Students are expected to gain insights into the theory of signal processing, and abilities to apply
them to specific problems in Geophysical or other related areas, particularly know how to conduct time-frequency
analysis and filtering to improve SNR.
16.
预达学习成果 Learning Outcomes
学生完成本课程后，将会掌握以下知识：
（1） 离散时间信号与系统的基本概念和理论
（2） Fourier-变换，Z-变换，Laplace-变换
（3） 采样定理，频率混叠与泄露
（4） 滤波器的原理及特征
（5） 时频分析方法（短时傅里叶变换，Gabor 变换，小波变换等）
（6） 相关性分析及功率谱估计
（7） 主成分分析、独立成分分析
Upon completing the course, students will be able to:
(1) Understand the fundamental theory of discrete time signals and systems.
(2) Understand Fourier transforms, z-transforms, and Laplace transforms.
(3) Know sampling theorem, aliasing, and leakage.
(4) Understand the principle and characteristics of digital filters.
(5) Apply time-frequency analysis method (STFT, Gabor transform, Wavelet transform, HHT, etc.).
(6) Apply correlation analysis and power spectrum estimation.