Course title
Y02112503
Foureir Transform

 YAMAZAWA Hiroshi

HIROSE Sampei
Course description
Images and sound can be thought of as superpositions of signals (waves), which can be used for compression and noise reduction. The basis for this is the fact that functions can be decomposed into waves, and this is called Fourier analysis after Fourier, who studied this.
In this class, students learn the main tools in Fourier analysis: Fourier series, Fourier transform, wavelet transform, and their applications.
Purpose of class
The purpose of this class is to understand the concepts of Fourier series, Fourier transform, and wavelet transform, and to be able to perform calculations. In addition, students understand how they are used in signal processing and other applications.
Goals and objectives
  1. To be able to understand the definition of Fourier series expansion and be able to calculate it.
  2. To be able to understand the definition of wavelet series expansion and be able to calculate it.
  3. To be able to understand the definition of Fourier transform and be able to perform basic calculations.
  4. To be able to understand the definition of wavelet transform and be able to perform basic calculations.
  5. To be able to understand the following applications of Fourier analysis.
    *Differential equation solving using Fourier transform
    *Definition of multiresolution representation and its calculation method
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Periodic signal and Fourier series expansion 1 Read through the handouts, and solve the exercises before class. Review after class. 190minutes
2. Fourier series expansion 2, orthogonal expansion and orthogonal projection Read through the handouts, and solve the exercises before class. Review after class. 190minutes
3. Fourier Transform Read through the handouts, and solve the exercises before class. Review after class. 190minutes
4. Fast Fourier Transform and wavelet Transform Read through the handouts, and solve the exercises before class. Review after class. 190minutes
5. Wavelet transform and its properties Read through the handouts, and solve the exercises before class. Review after class. 190minutes
6. Engineering applications (multi-resolution representation) and applications to differential equations Read through the handouts, and solve the exercises before class. Review after class. 190minutes
7. Final examination and its explanation Preparation of final examination. 190minutes
Total. - - 1330minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Final examination Reports and little examinations Total.
1. 11% 11% 22%
2. 11% 11% 22%
3. 11% 11% 22%
4. 11% 11% 22%
5. 6% 6% 12%
Total. 50% 50% -
Evaluation method and criteria
Final examination(50%), Reports and little examinations(50%)
60% if students can understand and solve exercises in the handouts
Reports and little examinations will include problems similar to the example problems and the exercises in the handouts.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
The Others 状況に応じてフィードバックを行う
Textbooks and reference materials
Reference materials:
フーリエ解析、井町昌弘、内田伏一、裳華房
信号処理入門、雨宮好文、佐藤幸男、佐波孝彦、オーム社
よくわかる信号処理、和田成夫、森北出版
Prerequisites
Review Differential and Integral Calculus 1, Differential and Integral Calculus 1, and Mathematical Modeling
Office hours and How to contact professors for questions
  • 30 minutes after class
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Sep 09 05:57:59 JST 2023