Digital signal processing education: technology and tradition

Robert Stewart, John Quayle, Daniel Garcia-Alis, Stephan Weiss

Research output: Contribution to conferencePaper

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 or two semesters and usually covers the fundamental mathematics of z-,
Laplace and Fourier, followed by the algorithm and application detail. In the courses 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.
Original languageEnglish
Number of pages3
Publication statusPublished - 2000
EventFirst IEEE Workshop on Signal Processing Education - Hunt, TX, United States
Duration: 15 Oct 200018 Oct 2000

Conference

ConferenceFirst IEEE Workshop on Signal Processing Education
CountryUnited States
CityHunt, TX
Period15/10/0018/10/00

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Keywords

  • signal processing
  • application learning
  • DSP
  • digital signal processing
  • information technology
  • education

Cite this

Stewart, R., Quayle, J., Garcia-Alis, D., & Weiss, S. (2000). Digital signal processing education: technology and tradition. Paper presented at First IEEE Workshop on Signal Processing Education, Hunt, TX, United States.