Course Information
Course title
 近代頻譜分析
MODERN SPECTRAL ANALYSIS 
Semester
 96-2 
Designated for
 COLLEGE OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE  GRADUATE INSTITUTE OF COMMUNICATION ENGINEERING  
Instructor
 曹建和 
Curriculum Number
 EE5147 
Curriculum Identity Number
 921 U9640 
Class
  
Credits
 3 
Full/Half
Yr.
 Half 
Required/
Elective
 Elective 
Time
 Thursday 2,3,4(9:10~12:10) 
Room
 電二303 
Remarks
 The upper limit of the number of students: 25. 
Ceiba Web Server
 http://ceiba.ntu.edu.tw/962MSP 
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
 Association has not been established
Course Syllabus
Please respect the intellectual property rights of others and do not copy any of the course information without permission
Course Description

1 Introduction
2 Review of signal and system
3 Correlation analysis
4 Spectral analysis using Fourier Transform
5 Filtering for Artifacts Removal
6 Stochastic Modeling and PSD estimation
7 Signal Detection

註: 本課將逐步由頻譜分析發展成生醫信號分析 

Course Objective
 Understand signal analysis techniques and their applications.
Statistical signal processing techniques will be emphasized.
Applications to Biomedical Signal Analysis will be emphasized.
 
Course Requirement
 預修:信號與系統

- Homework Assignments: 20%
- Midterm Exams: 40%
- Final Report: 40%
 
Student Workload (expected study time outside of class per week)
  
Office Hours
  
Designated reading
  
References
 Modern Spectral Estimation, by S.M. Kay, Prentice-Hall, 1988
Digital Spectral Analysis, by S.L. Marple, Prentice-Hall, 1987
Spectral Analysis and its applications, by G. Jenkins and D. Watts, 1968.
Optimal Signal Processing, by S.J. Orfanidis, McGraw-Hill, 1990
Adaptive Filter Theory, by S. Haykin, Prentice-Hall, (4 ed.), 2002.
Biomedical Signal Processing and Signal Modeling, E. N. Bruce, JOHN WILEY & SONS, 2001
Biomedical Signal Analysis, R. M. Rangayyan, Wiley 2002.
 
Grading
    
Progress
Week
Date
Topic
第1週
 2/21  Introduction 
第18週
 6/19  Final Report