No. | School | Course Name |
3 | Electric & Electronic | Wavelet Theory and Application |
Course Code | 020251 | |
Total Credit Hours | 32 | |
Credits | 2 | |
Lecture Hours | 32 | |
Computer Hours | 0 | |
Experiment Hours | 0 | |
Way of Assessment: test Proportion of Result Evaluation: Regular Grades（including result of mid-term exam）40 %+Result of Final Exam 60 % Course Description: This course is one of the important courses of mathematics and engineering. Its concepts already existed under various forms in many different fields. The formalization and emergence of this “wavelet theory” is the result of a multidisciplinary effort that brought together many kinds of scientists in the world. For signal processing, this connection has created a flow of ideas that goes well beyond the construction of new bases or transforms. Wavelet theory has been employed in many fields and applications. Different from Fourier analysis, the development of wavelets has been much more recent, and the subject of wavelets has become a popular tool in signal analysis and other areas of applications only within the last two decades or so. Our goal with this course is to present many of the essential ideas, along with some of their applications to signal analysis, to an audience of advanced undergraduate engineering or mathematics majors. Pre -course : Higher Mathematics / Mathematics Analysis; linear Algebra Applicable Major: Undergraduates of Electrical Engineering Major, Mechanical Engineering Major, Computer Engineering Major, Material Engineering Major, Applying Mathematics Major, Information Engineering, Major Vehicle Engineering Major. Leading Teachers: Song Wanqing Teaching Material: Self-Edition Main Reference Books: 1. Dwight F.Mix, Kraig J. Olejniczak. Elements of Wavelets for Engineers and Scientists. John Wiley & Sons, Inc. 2003 2. Jaideva C. Goswami, Andrew K. Chan (exas A&M University). Fundamentals of Wavelets Theory, Algorithms, and Applications. New York: John Wiley & Sons, INC. 1999. | ||