Catalog

Digital Signal Processing

Electrical Engineering and Computer Science MIT CC BY-NC-SA 4.0 22 lectures

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. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications. Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and nonrecursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.

Syllabus

  1. 1 Demonstration 1: Sampling, Aliasing, and Frequency Response, Part 1
  2. 2 Demonstration 2: Sampling, Aliasing, and Frequency Response, Part 2
  3. 3 Lecture 1: Introduction
  4. 4 Lecture 2: Discrete-Time Signals and Systems, Part 1
  5. 5 Lecture 3: Discrete-Time Signals and Systems, Part 2
  6. 6 Lecture 4: The Discrete-Time Fourier Transform
  7. 7 Lecture 5: The z-Transform
  8. 8 Lecture 6: The Inverse z-Transform
  9. 9 Lecture 7: z-Transform Properties
  10. 10 Lecture 8: The Discrete Fourier Series
  11. 11 Lecture 9: The Discrete Fourier Transform
  12. 12 Lecture 10: Circular Convolution
  13. 13 Lecture 11: Representation of Linear Digital Networks
  14. 14 Lecture 12: Network Structures for Infinite Impulse Response (IIR) Systems
  15. 15 Lecture 13: Network Structures for Finite Impulse Response (FIR) Systems and Parameter Quantization Effects in Digital Filter Structures
  16. 16 Lecture 14: Design of IIR Digital Filters, Part 1
  17. 17 Lecture 15: Design of IIR Digital Filters, Part 2
  18. 18 Lecture 16: Digital Butterworth Filters
  19. 19 Lecture 17: Design of FIR Digital Filters
  20. 20 Lecture 18: Computation of the Discrete Fourier Transform, Part 1
  21. 21 Lecture 19: Computation of the Discrete Fourier Transform, Part 2
  22. 22 Lecture 20: Computation of the Discrete Fourier Transform, Part 3

Course materials