Development of a web-based signal and speech processing laboratory for distance learning

Andreas Spanias, Susan Urban, Argyris Constantinou, Maya Tampi, Axel Clausen, Xiaopeng Zhang, Jeff Foutz, Georgios Stylianou

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

In this paper, we describe an internet-based signal processing laboratory that provides hands-on learning experiences in distributed learning environments. The laboratory is based on an object-oriented JavaTM tool called Java Digital Signal Processing (J-DSP). J-DSP has been developed at Arizona State University (ASU) and is being used for a virtual laboratory in a senior-level DSP course. J-DSP is written as a platform-independent Java applet that resides on the web and is thereby accessible by all students through the use of a web browser. J-DSP has a rich suite of signal processing functions that facilitate interactive on-line simulations of modern statistical signal and spectral analysis algorithms, filter design tools, QMF banks, and state-of-the-art vocoders. J-DSP is accompanied by administrative software tools for secure internet-based lab-report submission and evaluation including servlets for maintaining web-based grade books. A series of J-DSP laboratory exercises has been developed and delivered using the ASU distance learning facilities. Student evaluations as well as assessments by experts have been compiled and preliminary results are quite encouraging.

Original languageEnglish (US)
Pages (from-to)21-26
Number of pages6
JournalComputers in Education Journal
Volume10
Issue number2
StatePublished - Apr 2000

ASJC Scopus subject areas

  • Computer Science(all)
  • Education

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