Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Engineering
Lecture Code K6423020 Subject Classification Specialized Education
Subject Name 信号処理工学
Subject Name
Subject Name in
Signal Processing Engineering
ナカモト マサヨシ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Mon5-6:ENG 103, (1T) Tues1-2:ENG 219
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
Criterion referenced
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.  
PC or AV used in
(More Details) Projector, PC 
Learning techniques to be incorporated  
Suggestions on
Preparation and
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. 
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  
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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