開講学期 Course Start	2015年度 前期
授業区分 Regular or Intensive	週間授業
対象学科 Department	情報電子
対象学年 Year	1
必修・選択 Mandatory or Elective	Elective
授業方法 Lecture or Seminar	Lecture and Group Practice
授業科目名 Course Title	信号処理特論Ｂ 知能情報学
単位数 Number of Credits	2
担当教員 Lecturer	Prof. Ken-ichi ITAKURA
教員室番号 Office	V510
連絡先(Tel) Telephone	0143-46-5424
連絡先(E-mail) E-mail	itakura(at)mmm.muroran-it.ac.jp
オフィスアワー Office Hour	Tuesday 16:15〜17:15 Other times by appointment.
授業のねらい Learning Objectives	In this course, we will introduce the fundamental ideas of signals and system analysis. Applications of these ideas include not only the sensing system, but audio and image processing, communications, control etc. The course includes basic properties of signals and systems, systems in the time domain and frequency domain. In addition, the practices of signal analysis using the measurement signals of sound are included as a group project work.
到達度目標 Outcomes Measured By:	By the end of this course, you should have an understanding of the mathematics of signals in Fourier analysis　of　discrete-time signals and systems, random signals, power spectral densities and random signals in linear system, and how these tools are used in real applications.
授業計画 Course Schedule	The proposed schedule below is a guideline only and subject to change. 1 Guidance (Overview of Sensing Systems and Signal Processing) 2 Measurement of Voice 1 3 Measurement of Voice 2 4 Fourier Analysis of Discrete-Time Signals and Systems 1 5 Fourier Analysis of Discrete-Time Signals and Systems 1 (Problems) 6 Fourier Analysis of Discrete-Time Signals and Systems 2 7 Fourier Analysis of Discrete-Time Signals and Systems 2 (Problems) 8 Random Signals 9 Random Signals (Problems) 10 Power Spectral Densities and Random Signals in Linear System 1 11 Power Spectral Densities and Random Signals in Linear System 1 (Problems) 12 Power Spectral Densities and Random Signals in Linear System 2 13 Power Spectral Densities and Random Signals in Linear System 2 (Problems) 14 Group Discussion and Report Preparation 15 Final Presentation of Group Projects
教科書 Required Text	The following will be the main text. Hwei Hsu, Signals and Systems, Second edition, McGraw Hill
参考書 Required Materials	The followings are additional, complementary references of this class. Available in the library. A.V. Oppenheim, A. S. Willsky and S. H. Nawab, Signals & Systems, Prentice-Hall, 1996 E.O.Doebelin, Measurement Systems -Application and Design, McGraw-Hill, 1990
教科書・参考書に関する備考
成績評価方法 Grading Guidelines	Homework/Quizzes: 50% Group Project and Presentation: 50% To pass the course, more than 60% is required.
履修上の注意 Please Note	This course will be cooperated with Advanced Signal processing A . Students are required to come to class on time, and not to miss any classes. If you have to miss class due to emergency or illness, then you must notify the instructor directly and in advance. In this course, students will form groups of 3-4 members and complete a project applying the concepts they have learned in the class. Groups will write a project report and present their projects at the final class.
教員メッセージ Message from Lecturer	Before attending the lectures, read the text and handouts. After each class, make sure that you have learned. Use the campus resources; library, office hour, other students. Homework assignments are due on specific date, and no late homework is accepted.
学習・教育目標との対応 Learning and Educational Policy	Educational policy of the division of Information and Electronic Engineering (Computer Systemics Course and Computational Intelligence Course) is 1) cultivating the specialized ability in fundamental information engineering and in various core computer systems based on information science and mathematical science, 2) to foster communication skills, teamwork and ethical considerations, 3) nurture human resources with core technology to maintain and upgrade information society. The learning objectives are close related to the educational policy of 1) and 2).
関連科目 Associated Courses	Linear Systems, Instrumentation Engineering and Digital Signal Processing of undergraduate course.
備考 Remarks	Each class will be done in English.