Hiroshima University Syllabus

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Academic Year 2019Year 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
オオノ シュウイチ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Mon5-6,Fri5-6:ENG 103
Lesson Style Lecture Lesson Style
【More Details】
Credits 2 Class Hours/Week   Language on Instruction J : Japanese
Course Level 3 : Undergraduate High-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 25 : Electrical, Systems, and Control Engineering
Eligible Students 工学部第二類 平成28年度入学生及び過年度生
Keywords Signal and system, Fourier transform,  spectrum, sampling theorem, z transform, filter
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Electrical, Electronics, System and Information Engineering
(Abilities and Skills)
・Concepts, knowledge and methods which are the basis for studies related to electrical, electronics, systems, and information engineering.
・Ability to apply basic concepts, knowledge, and methods of electrical, electronics, systems, and information engineering to concrete/technical problems. 
Class Objectives
/Class Outline
Obtain  basic knowledge on signal processing.  
Class Schedule lesson1 System and signal processing
lesson2 Introduction to Scilab
lesson3 Important signals
lesson4 Signal and vector
lesson5 Discrete-time system
lesson6 Convolution and stability
lesson7 Frequency response
lesson8 Midterm examination
lesson9 Discrete-time Fourier transform
lesson10 Sampling and quantization
lesson11 Discrete Fourier transform
lesson12 Fast Fourier transform
lesson13 Z transform
lesson14 Inverse Z transform
lesson15 Filter

Midterm exam, final exam, 6 homeworks.  
PC or AV used in
Projector, PC 
Suggestions on
Preparation and
In Lesson 1, system and signal processing are introduced.
In Lesson 2, Scilab is explained.
In Lesson 3, some important signals are introduced.
In Lesson 4, signals are expressed by vectors.
In Lesson 5, basic of discrete-time signal is reviewed.
In Lesson 6, convolution and stability are studied.
In Lesson 7, frequency response is presented.
In Lesson 9, discrete-time Fourier transform is introduced.
In Lesson 10, sampling and quantization are  described.
In Lesson 11, discrete Fourier transform is introduced.
In Lesson 12, fast Fourier transform is explained.
In Lesson 13, Z transform is studied.
In Lesson 14, inverse Z transform is studied.
In Lesson 15, filters are discussed.
Grading Method Midterm  exam. (35%), Final exam. (35%), homework (30%). 
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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