Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2019Year 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 OHNO SHUICHI オオノ　シュウイチ Higashi-Hiroshima 3rd-Year,  First Semester,  1Term (1T) Mon5-6,Fri5-6：ENG 103 Lecture Lecture 2 J : Japanese 3 : Undergraduate High-Intermediate 25 : Science and Technology 25 : Electrical, Systems, and Control Engineering 工学部第二類 平成28年度入学生及び過年度生 Signal and system, Fourier transform,  spectrum, sampling theorem, z transform, filter 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. Obtain  basic knowledge on signal processing. lesson1 System and signal processinglesson2 Introduction to Scilablesson3 Important signalslesson4 Signal and vectorlesson5 Discrete-time systemlesson6 Convolution and stabilitylesson7 Frequency responselesson8 Midterm examinationlesson9 Discrete-time Fourier transformlesson10 Sampling and quantizationlesson11 Discrete Fourier transformlesson12 Fast Fourier transformlesson13 Z transformlesson14 Inverse Z transformlesson15 FilterMidterm exam, final exam, 6 homeworks. Handout Projector, PC 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. 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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