Work in progress -- Interactive signal-processing labs and simulations on iOS devices

Authors:
Jinru Liu;Andreas Spanias;Mahesh K. Banavar;Jayaraman J. Thiagarajan;Karthikeyan Natesan Ramamurthy;Shuang Hu;Xue Zhang
Affiliations:
SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University;SenSIP Center, School of ECEE, Arizona State University
Venue:
FIE '11 Proceedings of the 2011 Frontiers in Education Conference
Year:
2011

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An educational platform to demonstrate speech processing techniques on Android based smart phones and tablets

Speech Communication

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Abstract

Handheld devices are increasingly finding more applications in STEM education. In this paper, we present the design of an interactive signal processing simulation software operating on both the iPhone OS (iOS) and Android platforms. This object-oriented application is called i-JDSP and is conceptually based on the award-winning Java-DSP (J-DSP) simulation environment. The i-JDSP app offers a user-friendly visual programming interface and provides users with a compelling multi-touch programming experience. It supports basic signal processing simulation functions such as the FFT, filtering, frequency response, pole-zero plots, and sound recording and playback. Initial assessments have been promising and we believe that this new attractive smartphone interface will make signal processing education among undergraduate students more appealing.