Digital Signal Processing Education: Technology and Tradition
Digital Signal Processing Education: Technology and Tradition
In this paper we discuss a DSP course presented to both University students and to participants on industrial short courses. The "traditional" DSP course will typically run over one to two semesters and usually cover the fundamental mathematics of z-, Laplace and Fourier transforms, followed by the algorithm and application detail. In the course we will discuss, the use of advanced DSP software and integrated support software allow the presentation time to be greatly shortened and more focussed algorithm and application learning to be introduced. By combining the traditional lecture with the use of advanced DSP software, all harnessed by the web, we report on the objectives, syllabus, and mode of teaching.
Stewart, R W
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Weiss, S
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Quayle, J D
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Garcia-Alis, D
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October 2000
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Quayle, J D
1694344e-8b45-4169-b09e-b2e1995c7e15
Garcia-Alis, D
51b23300-fd6b-45fe-a6ad-f2e6fa4efebe
Stewart, R W, Weiss, S, Quayle, J D and Garcia-Alis, D
(2000)
Digital Signal Processing Education: Technology and Tradition.
!st Signal Processing Education Workshop.
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Conference or Workshop Item
(Other)
Abstract
In this paper we discuss a DSP course presented to both University students and to participants on industrial short courses. The "traditional" DSP course will typically run over one to two semesters and usually cover the fundamental mathematics of z-, Laplace and Fourier transforms, followed by the algorithm and application detail. In the course we will discuss, the use of advanced DSP software and integrated support software allow the presentation time to be greatly shortened and more focussed algorithm and application learning to be introduced. By combining the traditional lecture with the use of advanced DSP software, all harnessed by the web, we report on the objectives, syllabus, and mode of teaching.
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stewart00d.pdf
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Published date: October 2000
Additional Information:
Organisation: IEEE
Venue - Dates:
!st Signal Processing Education Workshop, 2000-10-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 254259
URI: http://eprints.soton.ac.uk/id/eprint/254259
PURE UUID: e7236fed-dafa-4aee-b534-a006ccd279a9
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Date deposited: 10 Feb 2001
Last modified: 14 Mar 2024 05:31
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Contributors
Author:
R W Stewart
Author:
S Weiss
Author:
J D Quayle
Author:
D Garcia-Alis
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