Signal and Data Analysis simulations were performed on iOS devices (iPad/iPhone/iPod Touch) by undergraduate and graduate students, instructors and DSP practitioners using the Java DSP editor tool. The software was tested for its efficiency in performing multidisciplinary signal processing functions without any ‘bugs’ and ‘crashes’. A brief summary of the workshop is as follows.
Talks by Dr. Spanias, Professor at the ECEE department of ASU and Director of SenSIP Center and Industry Consortium, Dr. Mahesh Banavar, Post-Doc at ASU SenSIP/ECEE, and Shuang Hu, a graduate student from the ECEE department of Arizona State University, were given at the start of the event.
An elaborate exercise that tested the various functions of this tool was created and disseminated to every participant. A pre-lab quiz was conducted before the students ventured into the iJDSP simulations, and this was then followed by a post-lab quiz to evaluate the knowledge acquisition outcome of the simulations. The organizers assisted people as they ran their simulations and exercises, paying close attention to details in using the software. The iJDSP editor worked flawlessly for the most part and engaged the students towards learning DSP concepts through a user friendly and fun online environment. Performing simulations on the iOS devices was very interesting and this tool has the potential of being
an extremely significant educational software with a widespread appeal to the many engineering domains.
The results of the exercise
assessments proved its capability at providing convenient
mobile access and thorough understanding of Signal
Processing techniques and its applications in the
real-world. The following table summarizes these results
quantitatively, taking numerous aspects into