ASU's J-DSP adopted by Johns Hopkins and Purdue for Earth Systems Data Processing in an NSF collaborative project

         The ASU award winning Java-DSP software package was adopted in a collaborative NSF project on Earth Systems.  ASU partnered with Johns Hopkins and Purdue on a project whos PIs are Linda Hinnov from Johns Hopkins, Andreas Spanias from ASU, and James Ogg from Purdue.  This earth sciences project was funded by the NSF for $575k for three years starting October 2007.  J-DSP is a visual programming environment developed by Andreas Spanias of Electrical Engineering and his graduate students.  This program won two IEEE awards and was rated and recognized by the UC. Berkeley NEEDS committee as one of the top three non-commercial software packages.  Under this new program, researchers at ASU will create the J-DSP/Earth Systems Edition (J-DSP/ESE) which will be used by earth scientists  to process and interpret important  geological data including data important for sustainability research. J-DSP was previously used for multimodal wireless sensing research and for DSP education technology projects. Figure 1 illustrates the proposed interface for the J-DSP/Earth Systems Edition.

Multidisciplinary extensions to the educational online J-DSP package have been made to handle earth systems data relating to applications in geology, exploration, and environmental assessment.  The new family of functions created for earth data are bundled in our new J-DSP/ESE.  The functions are focused on representing earth systems data in an intuitive manner, and allowing students to experiment with different functions by taking advantage of the powerful visual programming environment of J-DSP. This new system is useful in earth systems related courses where students can use J-DSP/ESE to analyze data and extract information that relates data to events. Because certain types of the earth systems data relate to depth scale, a depth to time transformation module was developed. This module maps the depth scale to the time scale. An interpolation block takes the non-uniformly sampled data in the time scale and converts it to uniformly sampled data by interpolating and re-sampling. FFT, filters and other statistical functions are used to extract earth systems meaningful information. These new functions will be used in two different classes, namely, an exposition session for applications of DSP in electrical Engineering and a computational tool session in an Earth Systems course at Johns Hopkins University.