The objective of this Sensor Signal and Information Processing (SenSIP) consortium site proposal from Arizona State University is to join the Net-Centric Software and Systems Center which is an established NSF Industry/University Cooperative Research Center (I/UCRC). SenSIP brings several complementary research capabilities to the current Net Centric research thrusts. Specific SenSIP research areas include digital signal and image processing, multimedia systems, sensor networks, information theory and wireless communications. These research areas are critical to future Net-Centric Systems for a wide range of application domains. SenSIP has already established the necessary intellectual base and marketing infrastructure to attract and retain industry partners. For the past three years SenSIP has recruited five paying members: Acoustic Technologies, Intel Corporation, Lockheed Martin, National Instruments, and Raytheon Missile Systems. And the ASU consortium is exploring membership research agreements with Qualcomm, Freescale, Nokia, Texas Instruments, General Dynamics, Sprint-Nextel, and G4 Matrix technologies. The mission of the proposed SenSIP/Net Centric site is to develop signal and information processing foundations for next-generation integrated multidisciplinary sensing applications in biomedicine, defense, energy, and sustainability, environmental technologies, interactive media, wireless communications, and vehicular systems. Core faculty researchers come from several ASU colleges. More specifically, SenSIP has core faculty members and researchers from the School of Electrical, Computer, and Energy Engineering, the School of Mathematical and Statistical Sciences, the School of Computing, Informatics, and Decision Systems Engineering, and the Department of Chemistry. SenSIP has also affiliated members from the Arts, Media, and Engineering (AME) school, the Biodesign Institute, and the Arizona Institute for Nano-Electronics. The goals of the SenSIP consortium are: a) to advance the state of the art in sensing theory and applications, b) to produce a highly trained workforce that will support emerging research and development activities, and c) to contribute to a sustainable economic growth and improve quality of life.
The student is interested in developing signal processing software systems for Net Centric applications-a major thrust for our I/UCRC site for the industry sponsor Intel. The student and advisor (Andreas Spanias) wish to pursue undergraduate research and training in the area software engineering. Through the proposed REV supplement during the summer of 2013, the student will be engaged in several aspects of the research and tasks of our I/UCRC industry project on software tools for signal processing architectures and Net Centric applications. The student will simulate algorithms for data de-noising, media object characterization and classification. The student will initially be performing literature review and be provided with background on signal processing algorithm and software tools. The student will start simulating methods for media object detection involving spectral Fourier domain sampling and reconstruction. He will then be immersed in classification research and simulation. We have developed our own MATLAB and C toolbox that contains functions that can be customized for signal processing applications. The current project has several broader impacts that go beyond its intellectual merit. By exposing the student to DSP software and classification algorithms, we prepare them not only for industry research and applications but also for areas associated with speech/audio communications and mobile health. The collaboration with different companies through our I/UCRC and participation of the student in our I/UCRC meetings will expose the student to several other sensor and Net-Centric DSP topics and will provide a broader perspective for Net Centric
|Effective start/end date||8/1/10 → 12/31/15|
- National Science Foundation (NSF): $394,000.00
Digital signal processing