The ASU award-winning Java-DSP software package has been adopted in a 3-year collaborative NSF project in Earth systems signals research involving PIs Linda Hinnov from Johns Hopkins, Andreas Spanias from ASU, and James Ogg from Purdue. This project, which started in August, 2007, was funded by NSF’s EAS Division for $575K, with an emphasis on acquisition of paleoclimate signals from the sedimentary rock record. J-DSP is a visual programming environment developed by Andreas Spanias of Electrical Engineering and his graduate students for instruction in digital signal processing.  J-DSP 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 available today. 

         J-DSP will be extended into a J-DSP/Earth Systems Edition (J-DSP/ESE) for use by earth scientists to process and interpret Earth system signals. J-DSP was previously used for multimodal wireless sensing research and for DSP education technology projects. A new family of functions created for earth data relating to applications in geology, exploration, sustainability, hazards, and environmental assessment 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, processes and other dynamical pheonomena.