2016 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
Day/Period(Room No.)
Wed3-4(I121)  
Group
-
Course number
MEC.B331
Credits
1
Academic year
2016
Offered quarter
1Q
Syllabus updated
2016/4/27
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

Intercultural skills Communication skills Specialist 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 Fourier series and orthogonal relationships Exercise related to Fourier series
Class 2 Complex Fourier series, Parseval’s theorem Exercise related to Complex Fourier series
Class 3 Fourier transform of a limited section Exercise related to Fourier transform
Class 4 Characteristics of Fourier transform Exercise related to Fourier transform
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
Class 8 Summary and development Exercise

Textbook(s)

pending

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