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CourseRES.6-00726 lectures20 h 12 min

Signals and Systems

Prof. Alan V. Oppenheim · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace.

Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.

The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.

Lectures

Video Lectures

  1. Lecture 1: Introduction 31 min · Video
  2. Lecture 2: Signals and Systems: Part I 45 min · Video
  3. Lecture 3: Signals and Systems: Part II 54 min · Video
  4. Lecture 4: Convolution 53 min · Video
  5. Lecture 5: Properties of Linear, Time-Invariant Systems 56 min · Video
  6. Lecture 6: Systems Represented by Differential Equations 48 min · Video
  7. Lecture 7: Continuous-Time Fourier Series 52 min · Video
  8. Lecture 8: Continuous-Time Fourier Transform 36 min · Video
  9. Lecture 9: Fourier Transform Properties 50 min · Video
  10. Lecture 10: Discrete-Time Fourier Series 51 min · Video
  11. Lecture 11: Discrete-Time Fourier Transform 56 min · Video
  12. Lecture 12: Filtering 42 min · Video
  13. Lecture 13: Continuous-Time Modulation 54 min · Video
  14. Lecture 14: Demonstration of Amplitude Modulation 36 min · Video
  15. Lecture 15: Discrete-Time Modulation 43 min · Video
  16. Lecture 16: Sampling 47 min · Video
  17. Lecture 17: Interpolation 53 min · Video
  18. Lecture 18: Discrete-Time Processing of Continuous-Time Signals 40 min · Video
  19. Lecture 19: Discrete-Time Sampling 50 min · Video
  20. Lecture 20: The Laplace Transform 55 min · Video
  21. Lecture 21: Continuous-Time Second-Order Systems 43 min · Video
  22. Lecture 22: The z-Transform 52 min · Video
  23. Lecture 23: Mapping Continuous-Time Filters to Discrete-Time Filters 51 min · Video
  24. Lecture 24: Butterworth Filters 46 min · Video
  25. Lecture 25: Feedback 45 min · Video
  26. Lecture 26: Feedback Example: The Inverted Pendulum 35 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Electrical Engineering and Computer Science
Teacher
Prof. Alan V. Oppenheim
Term
Spring 2011
Level
Undergraduate
Language
English
Subjects
Computer science, Engineering
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Alan V. Oppenheim. Signals and Systems. Spring 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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