It is an elective course for the Electrical Engineering (EECE) major and for the Next Generation Communications and Network (NGCN) minor.
This course is to provide senior-year EE major or NGCN minor undergraduate students an overview of Digital Signal Processing.
In particular, it covers the concepts of discrete-time signal, discrete-time linear filter, convolution sum, sampling, up and down sampling, decimation and interpolation, discrete-time Fourier transform, z-transform, discrete-Fourier transform; speech, audio and acoustic signal processing, image processing, etc.

아래의 중간 시험, 기말 시험 일시에 시험을 볼 수 없는 학생은 수강변경 기간에 수강을 취소해 주세요.

EECE233 Signals and Systems
MATLAB or Python programming skill

HW은 theoretical problems 외에 Programming 문제가 출제됩니다.
Programming 문제의 경우, MATLAB 또는 Python 등 어떤 프로그래밍 언어 및 앱을 사용하여 프로그래밍해도 좋으나, 적어도 결과는 MATLAB figure 와 유사한 결과를 내는 package (예를 들어 python의 matplot)를 써서 출력하여 제출하여야 합니다.

1. Quarter-Term Quiz 1 (14:00-14:30, Thursday, March 13th, LG 102) 10 %
2. Mid-term exam (19:00-23:00, Wednesday, April 2nd, LG 102) 20 %
3. Three Quarter-term Quiz 2 (14:00-14:30, Thursday, May 1st, LG 102) 10 %
4. Final Exam (19:00-23:00, Wednesday, June 4th, LG 102) 30 %
5. Homework (including programming HW) 30 %
6. Attendance: on/off
* No S/U for undergraduate students. A final grade lower than B0 will be converted to U for S/U graduate students.
* Weights will be multiplied to the z-scores of the requirements, unless the variance is too small.
* Extra-credit voluntary project:
- Submit a ppt/pdf file.
- Submit a 15-20 min. recorded presentation file
- Topics for your project must be approved before the final exam.
- If the extra-credit project is satisfactory, then the final grade will be one-step (+,0,-) increased without penalizing other students who have chosen not the submit reports.

S/U로 수강 신청할 경우 B-미만은 모두 U로 성적을 부여할 계획입니다. 따라서 S/U로 신청시 유의하시기 바랍니다.

A. V. Oppenheim and A. S. Willsky, Signals and Systems, 2nd Edition. Prentice Hall, 1996.
J. G. Proakis, D. G. Manolakis, Digital Signal Processing, 5th Ed., Pearson.

1: Introduction
2: Discrete-time convolution
3: Review of analog signals and systems
4: Discrete-time system and convolution
5: Discrete-time system and convolution
6: Spectrum analysis (Fourier transform)
7: Spectrum analysis (Fourier transform)
8: Filtering in the frequency domain
9: Filtering in the frequency domain
10: Sampling rate conversion and filter banks
11: Structures for implementing digital systems
12: Signal processing in digital communication systems
13: Some applications of digital signal processing
14: AI/ML and digital signal processing
15: 기말시험

Class Meetings:
- In-class meetings on every TTh 14:00-15:15 at LG 102. For exceptions, see Schedule/Downloads at http://cisl.postech.ac.kr/class/eece451/schedule.htm.
- Attendance: Minimum attendance of 3/4 is required. According to the university rule, more than 1/4 of unEXCUSED ABSENCEs lead to F without exception.
- Excused absences: Please provide related documents via email to the TA AND professor for excused absences.
- Attendance check: It is your responsibility to regularly check your attendance status at the POSTECH Electronic Attendance System. (https://rollbook.postech.ac.kr/ )

Homepage: http://cisl.postech.ac.kr/class/eece451/
Announcements and homework can be found from the PLMS.
Lecture handouts, videos, and annotated handouts will be provided on Schedule/Downloads of http://cisl.postech.ac.kr/class/eece451/.
You can also find the lecture playlist from the cisl.postech YouTube channel.


Companion courses: (not a requirement):
EECE302 - 전자수학 A (Mathematics for EE Engineers A)
EECE341 - 정보통신공학개론 (Introduction to Communication Systems)
EECE361 – 전자파 응용 (Electromagnetic Waves)
CSED352 - 데이터 통신 (Data Communication)
CSED353 -컴퓨터 네트워크 (Computer Networks)
EECE441 -디지털통신 개론 (Introduction to Digital Communication)
EECE442/NGCN301 - 통신 및 네트워크 개론 (Introduction to Communications and Network)
*EECE443/NGCN302 - 통신 및 네트워크 실험 (Laboratory for Communications and Network)
EECE451 - 디지털 신호처리 개론 (Introduction to Digital Signal Processing)
EECE461 – 전자파 응용 및 실험 (Microwave Engineering Experiments)
EECE574 - 확률 및 랜덤프로세스 (Probability and Random Process)
EECE576 - 통계통신 이론 (Statistical Communication Theory)
*EECE577 -정보 이론 (Information Theory)