MTS Algorithm  Dr. Subhash has developed a mathematical algorithm for reconstructing partial signals and signal processing in the presence of noise. This algorithm can have general application. It was originally developed as a NVH application for system response. |
Broadband Communication Systems  This research program covers a range of targets in broadband communication systems including ultra-broadband wireless communication networks and testbed, routing, protocol design and analysis. Additional topics for investigation are spread spectrum communications, CDMA, signal design and detection, modulation and coding, and synchronization.
This research program also covers optical wireless communications networks, ultra-broadband wireless transceiver design and implementation, communications circuits, and integrated broadband automotive networks. |
Networks for Distributed Sensor Processing This is a research program with specific applications in sensor networks. General research capabilities include statistical sensor array processing, adaptive filtering, target tracking, Bayesian inference, and decision network theory and applications. The research is focused on ultra-wideband wireless communications, cognitive radio networks, distributed sensor processing and networking, including synchronization and channel equalization, multi-user and distributed detection, MIMO systems, dynamic spectrum access, and information fusion for sensor networks. |
Statistical Modeling and Inference for Computational Imaging and Signal Analysis This is an extensive research program exploring the application of statistical modeling and inference to problems in computational imaging and signal analysis. Formative work was conducted in the area of multi-frame blind deconvolution with physical system-constraints. More recently, the program has been oriented toward system design and analysis for computational sensing and imaging; image restoration and synthesis with system uncertainties; active imaging with sparse arrays; multi-spectral mine detection; and image recovery from intensity measurements. The work has cross-cutting application including aeronautical and aerospace engineering. |
Wide-Band Magnetoelectric Interactions in Single Crystal Multiferroic Bilayers Materials that are capable of magnetic field-to-electric field conversion are potentially useful for a variety of technologies. There are few such magneto-electric materials in nature and most of them have a low efficiency when converting fields. This research is aimed at artificial composite materials with excellent conversion properties. The composites will be made by bonding plates of ferrites, which deform in a magnetic field, together with ferroelectrics, which produce an electric field when deformed. The field conversion properties will be studied over a wide frequency range for information on their use in consumer electronics, communication devices, and radar systems. These projects will provide research training for personnel at all levels, from high school sophomores to post doctoral associates.
A comprehensive research program is planned on wide-band magnetoelectric (ME) interactions in bilayers of single crystal ferrites and ferroelectrics. The electromagnetic coupling in such systems is mediated by mechanical stress: magnetostriction induced mechanical deformation and the piezoelectric effect induced electric fields. Theories predict orders of magnitude stronger ME interactions in single crystals compared to polycrystalline multilayers. The primary tasks and goals are as follows. (i) The fabrication of bilayers consisting of spinel ferrites and piezoelectrics by bonding techniques. (ii) Measurement and analysis of ME dispersion characteristics, including Maxwell-Wagner relaxation, and low-frequency ME effects. (iii) Investigations on resonant ME effect when the electric and magnetic subsystems show resonance behavior. Human resource development will involve personnel at all levels, from high school students to research associates. The ME materials are potential candidates for magnetoelectric memory devices, magnetic field sensors, electrically controlled magnetic devices, and magnetically controlled piezoelectric devices. |
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