A Web-Based Laboratory for Digital Signal Processing

Authors

  • Paolo Buschiazzo Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.
  • Davide Leoncini Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.
  • Rodolfo Zunino Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.
  • Anna Marina Scapolla Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.

DOI:

https://doi.org/10.3991/ijoe.v6i5.1382

Abstract


This paper presents a web-based laboratory to practice with embedded systems and in particular with Digital Signal Processing. The laboratory has been developed using a service oriented architecture to guarantee flexibility and interoperability with different electronic devices. Moreover it provides end users with a web based interface directly accessible through Internet and employees a wide range of modern Web 2.0 technologies. This approach allows creating complex web applications avoiding to install any plug-in on usersâ?? browsers. The paper presents how the remote laboratory can be used in an e-learning scenario and details how it can be integrated in feasible educational path based on common learning platforms such as Moodle.

Author Biographies

Paolo Buschiazzo, Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.

Ph.D. student at Biophysical and Electronic Engineering Department.

Davide Leoncini, Biophysical and Electronic Engineering Department, University of Genoa, Via All'Opera Pia 11a - 16145, Genoa, Italy.

Ph.D. student at Biophysical and Electronic Engineering Department.

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Published

2010-08-03

How to Cite

Buschiazzo, P., Leoncini, D., Zunino, R., & Scapolla, A. M. (2010). A Web-Based Laboratory for Digital Signal Processing. International Journal of Online and Biomedical Engineering (iJOE), 6(5), pp. 6–11. https://doi.org/10.3991/ijoe.v6i5.1382

Issue

Section

Special Focus Papers