| 開講学期／Course Start | 2016年度／Academic Year 前期／First |
|---|---|
| 開講曜限／Class period | 月/Mon 1 , 月/Mon 2 |
| 授業区分／Regular or Intensive | 週間授業 |
| 対象学科／Department | 大学院工学研究科博士前期課程情報電子工学系専攻知能情報学コース／Master's CourseDivision of Information and Electronic Engineering知能情報学コース |
| 対象学年／Year | 1年 , 2年 |
| 授業科目区分／Category | 博士前期課程 大学院自専攻科目 |
| 必修・選択／Mandatory or Elective | 選択 |
| 授業方法／Lecture or Seminar | |
| 授業科目名／Course Title | 信号処理特論Ｂ |
| 単位数／Number of Credits | 2 |
| 担当教員名／Lecturer | 板倉賢一 (情報電子工学系学科情報システム学コース) |
| 時間割コード／Registration Code | MP314B |
| 連絡先／Contact |
板倉賢一(0143-46-5424 itakura(at)mmm.muroran-it.ac.jp) |
| オフィスアワー／Office hours |
板倉賢一(Monday 16:30-17:30 Other times by appointment. ) |
| 更新日／Date of renewal | 2016/02/18 |
|---|---|
| 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 |
Signals and systems : Schaum's outlines Hwei P. Hsu McGraw-Hill 2011(ISBN:9780071634724) |
| 参考書等 ／Required Materials |
Signals and systems Alan V. Oppenheim, Alan S. Willsky, with S. Hamad Nawab Prentice Hall 1997(ISBN:0136511759)
Measurement systems : application and design Ernest O. Doebelin McGraw-Hill 2004(ISBN:007243886X) |
| 教科書・参考書に関する備考 | Books above are additional, complementary references of this class. Available in the library. |
| 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 ／Notices |
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 ／Related course |
Linear Systems, Instrumentation Engineering and Digital Signal Processing of undergraduate course. |
| 備考 ／Notes |
Each class will be done in English. |
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