3. 강의목표
Biomedical Systems and Signal Processing course provides a comprehensive treatment of signals and linear systems at an introductory level. Students will learn the fundamentals of signals and systems including classification and representation, linear time invariant (LTI) systems, time domain analysis, Fourier series, Fourier transforms, Laplace transforms, Z transforms, random signals and noise. All the principles are interpreted by carefully chosen practical examples and analogies. Communication systems, digital filters, medical imaging and other biomedical examples will be studied with MATLAB codes.
4. 강의선수/수강필수사항
Calculus, Differential Equations, Engineering Mathematics
MATLAB (recommended)
5. 성적평가
Homework 10%
Participation 10%
Midterm 1 20%
Midterm 2 20%
Final 40%
6. 강의교재
| 도서명 |
저자명 |
출판사 |
출판년도 |
ISBN |
|
Linear Systems and Signals (2nd Edition)
|
Lathi
|
Oxford University Press
|
2004
|
978-0195158335
|
8. 강의진도계획
Introduction
Signals and systems: classification and representation, linear time invariant (LTI) systems
Time domain analysis: convolution, impulse functions
Fourier series, Fourier transforms, discrete Fourier transforms, sampling
Laplace transforms, Z transforms
Filtering
Random signals, noise
*Detailed schedule will be provided at the first class.
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