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: Lec 9 | MIT RES.6-008 (Lecture 11 of 22)

on Dec 12, 2011
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Digital Signal Processing: Lec 10 | MIT RES.6-008 (Lecture 12 of 22)

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Digital Signal Processing: Lec 11 | MIT RES.6-008 (Lecture 13 of 22)

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Digital Signal Processing: Lec 12 | MIT RES.6-008 (Lecture 14 of 22)

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Digital Signal Processing: Lec 13 | MIT RES.6-008 (Lecture 15 of 22)

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Digital Signal Processing: Lec 14 | MIT RES.6-008 (Lecture 16 of 22)

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Digital Signal Processing: Lec 15 | MIT RES.6-008 (Lecture 17 of 22)

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Digital Signal Processing: Lec 16 | MIT RES.6-008 (Lecture 18 of 22)

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Digital Signal Processing: Lec 17 | MIT RES.6-008 (Lecture 19 of 22)

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Digital Signal Processing: Lec 18 | MIT RES.6-008 (Lecture 20 of 22)

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