Digital Signal Processing, Spring 2011
- Author:
- Oppenheim, Alan V.
- Subject:
- Science and Technology
- Institution Name:
- M.I.T.
- Collection:
- MIT OpenCourseWare
- Grade Level:
- Post-secondary
- Abstract:
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.
- Languages:
- English
- Material Type:
- Homework and Assignments, Readings
- Media Format:
- Text/HTML, Downloadable docs
- Conditions of Use:
-
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