About This Course
Signals and Systems is a mandatory fundamental course for college students in Electronic and Information Engineering majors. It elucidates the principles and methods in signal analysis and system description and the interaction mechanism between signals and systems. The course is distinct from other courses with its articulate structure, rich contents, and advanced teaching philosophies. During the process of the study, students will be able to understand the core ideas that signal and systems analysis is essentially signal representation and system description, respectively. With different basis functions, signals can be represented in different domains, and thus different approaches can be taken depending on the tasks of signal analysis and processing. Accordingly, systems can be described in different domains, and thus different methods can be taken for system analysis and design.
The future is here: we have entered a new era characterized with informationization and intelligentization, for which Signals and Systems provides the fundamental theories and analytical methods. The course paves the way for the students in relevant majors by establishing the crucial concepts of spectrum and transfer functions, fitting us better in the future.
Requirements
Calculus, linear algebra, circuit analysis.
Course Staff
Dr. Houjin CHEN is a professor at Beijing Jiaotong University. He was the recipient of National Distinguished Teachers, and Leading Talents of “Ten Thousand Project”. As the course group leader, he has taught the course “Signals and Systems” for over thirty years. The course has gained several national honors, and received widely good reputation from teachers and students.
Received a bachelor's and a master's degrees both from Tsinghua University, Beijing, China, and a Ph.D. degree from the University of Chicago, Chicago, IL, in Medical Physics. Currently affiliated with the School of Electronic and Information Engineering at Beijing Jiaotong University, Beijing, China. Interested in medical image analysis, pattern recognition and machine learning, computer-aided diagnosis, diagnostic accuracy assessment, computed tomography reconstruction, quantitative histopathological image processing and analysis, quantitative magnetic resonance (MR) image analysis, etc.
Yanfeng Li is an associate professor in Beijing Jiaotong University. She is one of the core member in Signal and System teaching. In the past five years, she has been engaged in the teaching work of Signal and System and Digital Signal Processing courses. She has won a number of national and provincial awards in course and teaching materials construction.
Li Jupeng, Ph.D., Associate Professor Graduated from Beijing Jiaotong University in 2009, and studied at UNC in the United States for one year in 2019. Interested in artificial intelligence, medical image processing, etc. Tought courses such as "Signals and Systems" and "Digital Image Processing". In this MOOC course, I am mainly responsible for maintenance and answering questions.
Graduated from Wuhan University in 2009. Visited MIT during 2012-2014 as an exchange graudate student. Received Ph.D degreee in 2014 from the Institue of Electronics, Chinese Academy of Sciences (IECAS). Wored in IECAS as an associated researcher in 2014-2019. Affliated with Beijing Jiaotong University since 2019 as an associated professor. Focused mainly on Radar signal processing, image recognition based on deep learning, automatic scaling of ionograms and profile inversion algorithms, innovative ionospheric detection techniques, and so on. Undertook grants from the National Science Foundation of China, National High-tech R&D Program of China (863 Program), and military projections. Published more than 10 SCI-indexed journal papers and awarded the Third Prize of Beijing Science and Technology Award
Frequently Asked Questions
What web browser should I use?
The Open edX platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
See our list of supported browsers for the most up-to-date information.
I did not learn Calculus and Linear Algebra. Can I still take this course?
You'd better learned the prerequisite courses. But even if you have done so, you can still make them up during the course, because the Signals and Systems course needs only the fundamentals of the prerequisite courses.
