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2024 Faculty Courses School of Engineering Undergraduate major in Mechanical Engineering

Fundamentals of Signal Processing

Academic unit or major
Undergraduate major in Mechanical Engineering
Instructor(s)
Chiaki Sato
Class Format
Lecture/Exercise (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
3-4 Wed
Class
-
Course Code
MEC.B331
Number of credits
0.50.50
Course offered
2024
Offered quarter
1Q
Syllabus updated
Mar 14, 2025
Language
Japanese

Syllabus

Course overview and goals

This course focuses on signal processing, and covers the fundamentals of Fourier series and Fourier transform.
This approach/method is not only useful for solving partial differential equations found in fields of mechanical engineering, electrical engineering, information and communication engineering, but is applicable to many other areas.

Course description and aims

Fourier series, Fourier transform, a sampling theorem, a discrete Fourier transform, a fast Fourier transform and a frequency filter can be understood and ready to apply.

Keywords

Fourier series, Fourier transform, Sampling theorem, Discrete Fourier transform, Fast Fourier Transform, Frequency filter

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills
  • This class aims at learning 6 and 7 of learning objective.

Class flow

Students will be given exercise problems at every lecture.

Course schedule/Objectives

Course schedule Objectives
Class 1

Linear systems and Fourier series

Exercise related to Fourier series

Class 2

Complex Fourier series

Exercise related to Complex Fourier series

Class 3

Application of Fourier Series

Exercise related to Application of Fourier series

Class 4

Fourier transform and convolution integral

Exercise related to Fourier transform and convolution integral

Class 5

Discrete Fourier transform

Exercise related to Discrete Fourier transform

Class 6

Sampling theorem

Exercise related to Sampling theorem

Class 7

Fast Fourier Transform

Exercise related to Fast Fourier Transform

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

Upload on T2SCHOLA

Reference books, course materials, etc.

Handouts will be provided as needed.

Evaluation methods and criteria

Exercises(50%) , and Examination(50%)

Related courses

  • MEC.B212 : Complex Function Theory
  • LAS.M101 : Calculus I / Recitation
  • LAS.M107 : Calculus Recitation II
  • MEC.B211 : Ordinary Differential Equations
  • LAS.M105 : Calculus II
  • MEC.B213 : Partial Differential Equations

Prerequisites

Students who enrolled on or before March 31, 2023 (~22B) are not eligible to take this course in FY2024.