From fixed-point processors to android: A hybrid course for real-time DSP laboratory

Author

Jun, Daniel ; Jones, Douglas L. ; Do, Minh N.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2013

fDate

11-14 Aug. 2013

Firstpage

279

Lastpage

283

Abstract

Current trends and popularity in embedded systems present an opportunity to modernize real-time digital signal processing (DSP) education. In this paper, we describe a hybrid real-time DSP laboratory course that starts with a fixed-point DSP processor to teach sample-by-sample processing, and then switches to the Google Nexus 7 tablet for block-based processing. This hybrid approach preserves the principles and components that embody real-time DSP education while spanning the full range of today´s embedded signal processing applications.

Keywords

digital signal processing chips; educational courses; electrical engineering education; embedded systems; fixed point arithmetic; teaching; Android; Google Nexus 7 tablet; block-based processing; digital signal processing; embedded signal processing application; embedded system; fixed point DSP processor; hybrid real-time DSP laboratory course; real-time DSP education; sample-by-sample process teaching; Androids; Digital signal processing; Humanoid robots; Java; Program processors; Real-time systems; Android; fixed-point processor; real-time DSP education;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE

Conference_Location

Napa, CA

Print_ISBN

978-1-4799-1614-6

Type

conf

DOI

10.1109/DSP-SPE.2013.6642604

Filename

6642604