Program Overview

Program Overview

The program is titled "數位生醫訊號處理" (Digital Biomedical Signal Processing). It is offered by the 醫療器材與醫學影像研究所 (Institute of Medical Engineering and Imaging) and is available for students in the 精準健康碩士學位學程 (Master's Program in Precision Health) and 精準健康博士學位學程 (Ph.D. Program in Precision Health).

Program Details

• Course Number: MDI7055
• Course ID: 458 M0540
• Credits: 3
• Type: Elective
• Instructor: 駱 遠 (Lok Yuen)
• Class Schedule: Friday, 6, 7, 8
• Classroom: 基醫1222
• Category: 2 類
• Enrollment: 15 students
• Language: Chinese
• NTU COOL: Available
• Core Competency and Course Planning: Related to the course

Course Description

This course describes the fundamental bases of signal processing and the necessary tools for their design and analysis. Course topics include:

• Linear time-invariant systems
• Analysis of signals
• Properties of systems in digital format
• Fourier relations that determine the performance of biomedical systems
• The course also includes labs for students to become further familiar with what has been learned in lectures.

Course Objectives

The scope of the course includes:

• Fundamentals
• Linear Time-invariant Systems
• Fourier Series & Fourier Transform
• Discrete Fourier Transform (DFT)
• Correlation and Convolution
• Time/Frequency Characterization of Signals/Systems
• Sampling & Sampling Theorem
• Biomedical Optics Systems
• Digital Engineering Signal and Systems Lab
• MATLAB Introduction
• Some Application Examples

Course Requirements

• Textbook: Oppenheim & Willsky, “Signals & Systems”, 2nd Adapted Ed. 2016
• Reference: S. Haykin & B.Van Veen, “Signals & Systems”, 1999 John Willey & Sons

Enrollment Restrictions

• Limitation: Limited to students in their second year or above
• Enrollment Status:
  • Already enrolled: 0/15
  • Remaining spots: 0
  • Waiting list: 0

Additional Information

• Office Hour: Not specified
• Assigned Reading: Not specified
• Assessment Method: Not specified
• Supplementary Courses: This course may complement the courses of Engineering Mathematics, Imaging Processing, and Advanced Computational Imaging.