VLSI digital signal processing education

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Research in the field of VLSI digital signal processing (DSP) involves study of algorithms and architectures for VLSI implementation of signal and image processing algorithms, theory of architectures and design methodologies, and computer aided design of VLSI DSP systems which can meet the area-speedpower demands of applications using available technologies. The objective in design and implementation of VLSI DSP systems is to reduce the area and power while meeting the speed requirements of the real-time applications. Although about one and a half decades old, this field is still in its youth. The challenges in meeting the speed-power demands of new applications leads to innovations in theory of architectures. At the same time use of old techniques in new applications allows us to further generalize and extend known principles. Because of these continuing advances and because of lack of text books in this field, it remains difficult to educate practicing engineers and graduate students in this field. This paper presents an overview of two ten-week quarter courses offered at the University of Minnesota to train graduate students in this field.

Original languageEnglish (US)
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages1303-1308
Number of pages6
ISBN (Electronic)0818664053
DOIs
StatePublished - 1994
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: Oct 31 1994Nov 2 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Country/TerritoryUnited States
CityPacific Grove
Period10/31/9411/2/94

Bibliographical note

Publisher Copyright:
© 1995 IEEE.

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