2020 Fundamentals of Signal Processing

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Undergraduate major in Mechanical Engineering
Instructor(s)
Okawa Seiji  Sato Chiaki 
Course component(s)
Lecture / Exercise
Mode of instruction
ZOOM
Day/Period(Room No.)
Wed3-4(S011)  
Group
-
Course number
MEC.B331
Credits
1
Academic year
2020
Offered quarter
1Q
Syllabus updated
2020/3/24
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

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 that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Students will be given exercise problems at every lecture.

Course schedule/Required learning

  Course schedule Required learning
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 and delta function Exercise related to Discrete Fourier transform
Class 6 Sampling theorem and spectrum Exercise related to Sampling theorem
Class 7 Filtering of discrete data, Frequency filter and convolution, Fast Fourier Transform Exercise related to Fast Fourier Transform

Textbook(s)

Upload on OCWi

Reference books, course materials, etc.

Handouts will be provided as needed.

Assessment criteria and methods

Exercises(40%) and tests(60%)

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 (i.e., required knowledge, skills, courses, etc.)

No prerequisites

Page Top