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Reinforcing signal processing theory using real-time hardware

  • University of Wyoming
  • University of Wisconsin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Today there is a global need for engineers who are 'DSP literate.' An obvious solution for supplying this need is to educate the next generation of DSP engineers. To do this, several powerful and highly versatile options are available. Real-time or quasi-real-time systems can be implemented using, for example, microprocessors, FPGAs, dedicated DSP hardware, general-purpose processors, graphical processing units, or smartphones. This paper discusses our efforts over the years using various dedicated DSP hardware devices to enhance our student's understanding of signal processing concepts and to develop the hardware and software skill-set routinely sought by future employers. Specifically, we introduce version three of winDSK8, a Windows-based graphical program that can control any one of three different Texas Instrument (TI) floating-point, real-time, DSP boards. This paper was invited for the special session, 'Advances in Signal Processing Education.' A real-time DSP demonstration will be part of our presentation.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6329-6333
Number of pages5
ISBN (Electronic)9781509041176
DOIs
StatePublished - 16 Jun 2017
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country/TerritoryUnited States
CityNew Orleans
Period5/03/179/03/17

Keywords

  • DSP hardware
  • real-time
  • signal processing
  • signal processing education

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