Digital Signal Processing

Alan Oppenheim
MIT

Course Description

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.

Video Lectures

Digital Signal Processing: Demonstration 1: Sampling (Lecture 1 of 22)

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Digital Signal Processing: Demonstration 2: Sampling (Lecture 2 of 22)

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Digital Signal Processing: Lec 1 | MIT RES.6-008 (Lecture 3 of 22)

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Digital Signal Processing: Lec 2 | MIT RES.6-008 (Lecture 4 of 22)

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Digital Signal Processing: Lec 3 | MIT RES.6-008 (Lecture 5 of 22)

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Digital Signal Processing: Lec 4 | MIT RES.6-008 (Lecture 6 of 22)

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Digital Signal Processing: Lec 5 | MIT RES.6-008 (Lecture 7 of 22)

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Digital Signal Processing: Lec 6 | MIT RES.6-008 (Lecture 8 of 22)

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Digital Signal Processing: Lec 7 | MIT RES.6-008 (Lecture 9 of 22)

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Digital Signal Processing: Lec 8 | MIT RES.6-008 (Lecture 10 of 22)

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