3. 강의목표
This course focuses on the fundamentals for various signal processing (image and speech processing, radar signal processing, etc.) and various systems (communication, control and radar systems etc.), often encountered in electrical engineering. Students will learn basic relations between signals and systems, and useful mathematical tools to understand them. The topics include the basic definitions of signals and systems, LTI systems, Fourier transforms, sampling theory, Laplace transforms and z-transforms. All these topics will be discussed in the framework of both continuous and discrete-time basis simultaneously.
4. 강의선수/수강필수사항
No pre-requisites but the followings are recommended:
Calculus, Linear Algebra, Differential Equations (or working knowledge on linear constant-coefficient differential equations)
5. 성적평가
- Midterm Exam (40%), Final Exam (40%), Homework(20%)
6. 강의교재
| 도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
|
Signals & Systems
|
Alan V. Oppenheim and Alan S. Willsky
|
Prentice Hall
|
1997
|
|
|
Signals and Systems, 2nd Edition
|
Simon Haykin and Barry Van Veen
|
Wiley
|
2003
|
|
7. 참고문헌 및 자료
Signals & Systems, Alan V. Oppenheim and Alan S. Willsky, Prentice Hall, 1997
Signals and Systems, Second Edition, Simon Haykin and Barry Van Veen, Wiley,2003
Digital Signal Processing using MATLAB, Vinay K. Ingle, and John G. Proakis, PWS Publishing Company, 1997
8. 강의진도계획
· Introduction
· Time-domain representations of linear time-invariant systems
· Continous-time Fourier transform
· Continous-time Fourier series
· Sampling theory
· Discrete-time Fourier transform
· Discrete-time Fourier series (Discrete Fourier transform)
· Applications of discrete Fourier transform
· Laplace transform
· z-transform
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청