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Lecture 6 of 26Video Lectures48 min

Lecture 6: Systems Represented by Differential Equations

Prof. Alan V. Oppenheim · Massachusetts Institute of Technology

At MIT OpenCourseWare Transcript

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Signals and Systems, Massachusetts Institute of Technology (at MIT OpenCourseWare)
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
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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All the 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