K6423020 Signal Processing Engineering

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Engineering

Lecture Code K6423020 Subject Classification Specialized Education

Subject Name 信号処理工学

Subject Name
（Katakana）シンゴウショリコウガク

Subject Name in
English Signal Processing Engineering

Instructor NAKAMOTO MASAYOSHI

Instructor
(Katakana) ナカモト　マサヨシ

Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  2Term

Days, Periods, and Classrooms (2T) Mon1-2,Tues1-2：ENG 102

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture, or online if the coronavirus spreads

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 3 : Undergraduate High-Intermediate

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 11 : Electrical, Systems, and Control Engineering

Eligible Students 工学部第二類平成31年度(令和元年度)入学生及び過年度生

Keywords Fourier transform,  spectrum, sampling theorem, z transform, Signal and system, filter

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Program of Electrical,Systems and Information Engineering
（Abilities and Skills）
・Concepts, knowledge and methods which are the basis for studies related to electrical,  systems, and information engineering.
・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering.

Program of Electronic Devices and Systems
（Abilities and Skills）
・Concepts, knowledge and methods which are the basis for studies related to electronic engineering.
・Ability to apply basic concepts, knowledge, and methods of electronics engineering to concrete/technical problems.

Class Objectives
/Class Outline Obtain  basic knowledge on signal processing.

Class Schedule lesson1  Purpose of signal processing
lesson2 Frequency spectrum analysis (1)
lesson3 Frequency spectrum analysis (2)
lesson4 Frequency spectrum analysis (3)
lesson5 Sampling theorem (1)
lesson6 Sampling theorem (2)
lesson7 Review of lectures of first half
lesson8 Midterm examination
lesson9 Discrete Fourier transform (DFT)
lesson10 Fast Fourier transform (FFT)
lesson11 Z transform
lesson12 System and signal processing
lesson13 Filter (1)
lesson14 Filter (2)
lesson15 Application of Signal Processing

Midterm exam, final exam, short tests and so on.

Text/Reference
Books,etc. Handout

PC or AV used in
Class,etc. 　

(More Details) Projector, PC

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review In Lesson 1, purpose of signal processing is introduced.
In Lesson 2, Fourier series and Fourier transformation are explained.
In Lesson 3, signals expressed in time domain and frequency domain are explained.
In Lesson 4, analysis of frequency spectrum is explained.
In Lesson 5, method of signal sampling, Nyquist frequency are studied.
In Lesson 6, method of signal restoring, aliasing are studied.
In Lesson 7, lectures of first half of this quarter are reviewed and summarized.
In Lesson 8, midterm examination is conducted.
In Lesson 9, discrete Fourier transform and its inverse transform are introduced.
In Lesson 10, fast Fourier transform and its inverse transform are explained.
In Lesson 11, Z transform and inverse Z transform are studied.
In Lesson 12, signals and systems are overviewed, and transfer function and stability analysis are explained.
In Lesson 13, design methods of filters are studied.
In Lesson 14, how to use filters is explained.
In Lesson 15, applications of signal processing are introduced.

Requirements

Grading Method Midterm  exam. (40%), Final exam. (40%), short tests and so on (20%).

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2024Year	School/Graduate School	School of Engineering
Lecture Code	K6423020	Subject Classification	Specialized Education
Subject Name	信号処理工学
Subject Name （Katakana）	シンゴウショリコウガク
Subject Name in English	Signal Processing Engineering
Instructor	NAKAMOTO MASAYOSHI
Instructor (Katakana)	ナカモト　マサヨシ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, 2Term
Days, Periods, and Classrooms	(2T) Mon1-2,Tues1-2：ENG 102
Lesson Style	Lecture	Lesson Style (More Details)
Lecture, or online if the coronavirus spreads
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	3 : Undergraduate High-Intermediate
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	11 : Electrical, Systems, and Control Engineering
Eligible Students	工学部第二類平成31年度(令和元年度)入学生及び過年度生
Keywords	Fourier transform, spectrum, sampling theorem, z transform, Signal and system, filter
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Program of Electrical,Systems and Information Engineering （Abilities and Skills）・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering. ・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering. Program of Electronic Devices and Systems （Abilities and Skills）・Concepts, knowledge and methods which are the basis for studies related to electronic engineering. ・Ability to apply basic concepts, knowledge, and methods of electronics engineering to concrete/technical problems.
Class Objectives /Class Outline	Obtain basic knowledge on signal processing.
Class Schedule	lesson1 Purpose of signal processing lesson2 Frequency spectrum analysis (1) lesson3 Frequency spectrum analysis (2) lesson4 Frequency spectrum analysis (3) lesson5 Sampling theorem (1) lesson6 Sampling theorem (2) lesson7 Review of lectures of first half lesson8 Midterm examination lesson9 Discrete Fourier transform (DFT) lesson10 Fast Fourier transform (FFT) lesson11 Z transform lesson12 System and signal processing lesson13 Filter (1) lesson14 Filter (2) lesson15 Application of Signal Processing Midterm exam, final exam, short tests and so on.
Text/Reference Books,etc.	Handout
PC or AV used in Class,etc.
(More Details)	Projector, PC
Learning techniques to be incorporated
Suggestions on Preparation and Review	In Lesson 1, purpose of signal processing is introduced. In Lesson 2, Fourier series and Fourier transformation are explained. In Lesson 3, signals expressed in time domain and frequency domain are explained. In Lesson 4, analysis of frequency spectrum is explained. In Lesson 5, method of signal sampling, Nyquist frequency are studied. In Lesson 6, method of signal restoring, aliasing are studied. In Lesson 7, lectures of first half of this quarter are reviewed and summarized. In Lesson 8, midterm examination is conducted. In Lesson 9, discrete Fourier transform and its inverse transform are introduced. In Lesson 10, fast Fourier transform and its inverse transform are explained. In Lesson 11, Z transform and inverse Z transform are studied. In Lesson 12, signals and systems are overviewed, and transfer function and stability analysis are explained. In Lesson 13, design methods of filters are studied. In Lesson 14, how to use filters is explained. In Lesson 15, applications of signal processing are introduced.
Requirements
Grading Method	Midterm exam. (40%), Final exam. (40%), short tests and so on (20%).
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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