2023년도 2학기 통계적신호처리 (EECE645-01) 강의계획서

1. 수업정보

학수번호 EECE645 분반 01 학점 3.00
이수구분 전공선택 강좌유형 온라인 병행강좌 선수과목 EECE574 (확률및랜덤프로세스)
포스테키안 핵심역량
강의시간 화, 목 / 14:00 ~ 15:00 / 온라인 강의실 [001호] 성적취득 구분 G

2. 강의교수 정보

조준호 이름 조준호 학과(전공) 전자전기공학과
이메일 주소 jcho@postech.ac.kr Homepage http://cisl.postech.ac.kr/cisl/jcho/
연구실 전화 279-2377
Office Hours

3. 강의목표

The course objective is to let the student obtain
1) the capability of identifying the engineering problems that can be put into the frame of statistical signal processing,
2) the capability of solving the identified problems using the standard techniques learned through this course, and
3) the fundamental understanding of statistical signal processing that may help them study advanced topics and consequently make significant contributions to the theory and the practice of statistical signal processing.

4. 강의선수/수강필수사항

Undergraduate Level
Signals and Systems,
Digital Communications,
Probability, Random Variables, and Random Processes

Graduate Level (Optional):
Digital Communications,
Optimization Theory,
Computer programming skills (MATLAB or C).

Contact the instructor for questions about prerequisites.

5. 성적평가

1. 1st midterm exam (TBD, 7-10 pm, In-class, Lec. 1-8) 15 %
2. 2nd midterm exam (TBD, 7-10 pm, In-class, Lec. 1-18) 20 %
3. Final exam (TBD, In-class, Lec. 1-30) 25 %
4. Homework (Quiz) 20 %
5. Project and Participation 20 %

100 %

6. 강의교재

도서명 저자명 출판사 출판년도 ISBN

7. 참고문헌 및 자료

Lecture notes and videos on the course web.
Reading the following references is strongly recommended.
P: H. V. Poor, An introduction to signal detection and estimation 2nd ed, New York : Springer-Verlag, 1994.
Sc: L. L. Scharf, Statistical Signal Processing. Reading, MA: Addition-Wesley, 1991.
V: H. L. Van Trees, Detection, Estimation, and Modulation Theory, Wiley, 1971.
Sr: M.D. Srinath, R.K. Rajasekaran, and R. Viswanathan, Introduction to Statistical Signal Processing with Applications, Prentice Hall, 1996.
K1: S. M. Kay, Fundamentals of Statistical Signal Processing:Estimation Theory, Prentice Hall, 1993.
K2: S. M. Kay, Modern spectral estimation: theory and application, Prentice Hall, 1988.
G: R. M. Gray and L. D. Davisson, An Introduction to Statistical Signal Processing, Cambridge Univ. Press, 2004.

8. 강의진도계획

I. IntroductionII. Statistical Inference
Vector observation- Bayesian detection and estimation- Non-Bayesian detection and estimationSequence observation- Convergence of a random sequence- Bayesian detection and estimation- Non-Bayesian detection and estimationWaveform observation- KL expansion, Sampling theorem, etc.- Bayesian detection and estimation- Non-Bayesian detection and estimationIII. Non-statistical InferenceLeast squaresMethods of momentsSpectral estimationIV. Recent Advances in Statistical Signal Processing

9. 수업운영

본 과목은 기녹화된 강의 동영상을 수강생이 미리 공부해 오는 Flipped Learning 방식으로 진행됩니다.

10. 학습법 소개 및 기타사항

Course homepage is

http://cisl.postech.ac.kr/class/eece645/index.htm

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