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.

Conference

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

Fingerprint

Digital signal processing
Education
Teaching
Students

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.
Stewart, Robert ; Quayle, John ; Garcia-Alis, Daniel ; Weiss, Stephan. / Digital signal processing education : technology and tradition. Paper presented at First IEEE Workshop on Signal Processing Education, Hunt, TX, United States.3 p.
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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.",
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author = "Robert Stewart and John Quayle and Daniel Garcia-Alis and Stephan Weiss",
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note = "First IEEE Workshop on Signal Processing Education ; Conference date: 15-10-2000 Through 18-10-2000",

}

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, 15/10/00 - 18/10/00, .

Digital signal processing education : technology and tradition. / Stewart, Robert; Quayle, John ; Garcia-Alis, Daniel; Weiss, Stephan.

2000. Paper presented at First IEEE Workshop on Signal Processing Education, Hunt, TX, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Digital signal processing education

T2 - technology and tradition

AU - Stewart, Robert

AU - Quayle, John

AU - Garcia-Alis, Daniel

AU - Weiss, Stephan

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

KW - signal processing

KW - application learning

KW - DSP

KW - digital signal processing

KW - information technology

KW - education

M3 - Paper

ER -

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