信号处理与数据分析
A. V. Oppenheim and A. S. Willsky, Signals and Systems (2nd Edition), Prentice-Hall, Englewood Cliffs, NJ, 1997. 秦树人,季忠,尹爱军,工程信号处理,北京:高等教育出版 社,2008年 程佩青,数字信号处理教程 (第三版),北京:清华大学出版 社,2007年
Autumn of 2013he Instructor
Tianshuang QIU, Ph.D, Professor
– Education
Undergraduate: Tianjin University (B.S. in Electrical Engineering, Majored in Electronic Instrument and Measurement Technology) Graduate: Dalian University of Technology (M.S. in Electrical Engineering, Majored in Signal and Information Processing) Doctorate: Dalian University and Technology/Southeastern University (Ph.D in Electrical Engineering, Majored in Signal and Information Processing)
Signals & Systems 2
2014-6-16
– Professional Experiences
Research Engineer, at Dalian Institute of Chemical Physics, Chinese Academy of Sciences Associate Professor, at Dlain Railway Institute of Technology Postdoctoral Fellow, at Northern Illinois University, USA Professor, at Dalian University of Technology, since 2000 The theory and application of digital signal processing Non-stationary and Non-Gaussian signal processing Adaptive signal processing Biomedical signal processing Telecommunication signal processing Biomedical Engineering Radio-Frequency Signal Processing
with the course with the instructor, the teaching assistant (TA) and your classmates. Seek help as soon as you have questions and/or difficulties in understanding the topics. Office hours are on Friday 4:00PM--5:00PM every week, and by appointment, at Room A1242 in Chuang Xin Yuan. Although the instructor and TA will be available to help you outside their office hours, please try to make an appointment ahead of time.
Signals & Systems 3
– Research Areas
2014-6-16
– Courses Taught Signal and System (for undergraduate students at English Intensive Class) Biomedical Information Technology (for master students majored in Biomedical Engineering) Professional English (for junior undergraduate students at English Intensive Class) Network Communications (for master students) Development of Modern Communication (for Ph.D students) Biomedical Signal Analysis and Processing (for undergraduate students majored in Biomedical Engineering) Signal Processing and Data Analysis (for Master Students in Non-Electronic Information Areas)
2014-6-16 Signals & Systems 4
The Teaching Assistant
A group headed by Mr. Wang Peng
– Working on his Ph.D degree in the area of
Signal and Information Processing, supervised by me. – Very good in Signal processing and all the courses learned before. – Dedicated himself in the area of wireless (radio-frequency) signal processing.
信号处理与数据分析
Signals Processing and Data Analysis
For Master Students in Non-Electronic Information Areas
Instructor: Dr. Tianshuang Qiu Faculty of Electronic Information and Electrical Engineering
2014-6-16
Signals & Systems
10
Syllabus(Cont’d)
Lecture Time
– Section 5—6 on Wednesday (Week 4—15) – Section 5—6 on Friday (Week 4—15)
Lecture Location
2014-6-16
Signals & Systems
8
Syllabus(Cont’d)
Readings
– Notes: Your own course notes are the most valuable sources of
information.
– Textbook: PPT Compiled by the Instructor – References:
– 研-102
Homework Solutions
– Find out what is right and wrong with your own solutions and
why.
Experiment
– Take time to conduct simulations on your own computers with
2014-6-16
Signals & Systems
6
Syllabus (Cont’d)
Course Description
– Based on the requirements of the master students in
various engineering areas, this course introduces the basic concepts and principles on the signal processing and data analysis. – This course contains 5 parts: Signals and systems; Error analysis and data pre-processing; Digital signal processing; Statistical signal processing; Modern signal processing
Signals & Systems
13
Syllabus(Cont’d)
Others
– You are encouraged to discuss homework
assignments with your classmates, but all work done on the exams must be your own. – The penalty for cheating on an exam will be a score of zero on the exam, and a failing grade in the course. – Missing three or more lectures without a valid reason acceptable to the instructor may result in a failing grade for the course.