Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2022Year School of Engineering K6423020 Specialized Education 信号処理工学 シンゴウショリコウガク Signal Processing Engineering NAKAMOTO MASAYOSHI ナカモト　マサヨシ Higashi-Hiroshima 3rd-Year,  First Semester,  1Term (1T) Mon5-6：ENG 103, (1T) Tues1-2：ENG 219 Lecture Lecture, or online if the coronavirus spreads 2.0 J : Japanese 3 : Undergraduate High-Intermediate 25 : Science and Technology 11 : Electrical, Systems, and Control Engineering 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 Fourier transform,  spectrum, sampling theorem, z transform, Signal and system, filter 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. Obtain  basic knowledge on signal processing. lesson1  Purpose of signal processinglesson2 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 halflesson8 Midterm examinationlesson9 Discrete Fourier transform (DFT)lesson10 Fast Fourier transform (FFT)lesson11 Z transformlesson12 System and signal processinglesson13 Filter (1)lesson14 Filter (2)lesson15 Application of Signal ProcessingMidterm exam, final exam, short tests and so on. Handout Projector, PC 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. Midterm  exam. (40%), Final exam. (40%), short tests and so on (20%). 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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