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        Digital Signal Processing Research Program

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        IconTherrien_chapter_Digital_Signal_Processing_1997.pdf (1.858Mb)
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        Author
        Therrien, Charles
        Oppenheim, Alan V.
        Baggeroer, Arthur B.
        Chandrakasan, Anantha P.
        Wornell, Gregory W.
        Aliberti, Giovanni
        Gold, Bernard
        Isabelle, Steven H.
        Kschischang, Frank
        Nawab, Hamid S.
        Preisig, James C.
        Weinstein, Ehud
        Amirtharajah, Rajeevan
        Barron, Richard J.
        Beheshti, Soosan
        Chan, Albert
        Chen, Brian
        Draper, Stark
        Hadjicostis, Christoforos N.
        Laneman, Nicholas J.
        Lee, Li
        Lopez, Michael J.
        Ooi, James M.
        Papadopoulos, Haralabos C.
        Secor, Matthew J.
        Seefeldt, Alan J.
        Verbout, Shawn M.
        Wage, Kathleen E.
        Wang, Alex Che-Wei
        Said, Maya R.
        Chupp, Darla J.
        Zaganjori, Janice M.
        Eggen, Trym H.
        Ludwig, Jeffrey T.
        Sestok, Charles K.
        Torres, Wade P.
        Date
        1997
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        Abstract
        The field of digital signal processing grew out of the flexibility afforded by the use of digital computers in implementing signal processing algorithms and systems. It has since broadened into the use of a variety of both digital and analog technologies, spanning a broad range of applications, bandwidths, and realizations. The Digital Signal Processing group carries out research on algorithms for signal processing and their applications. Current application areas of interest include signal enhancement and active noise cancellation; speech, audio and underwater acoustic signal processing; advanced beamforming for radar and sonar systems; and signal processing and coding for wireless and broadband multiuser communication networks. In some of our recent work, we have developed new methods for signal enhancement and noise cancellation with single or multisensor measurements. We have also been developing new methods for representing and analyzing fractal signals. This class of signals arises in a wide variety of physical environments and also has potential in problems involving signal design. We are also exploring potential uses of nonlinear dynamics and chaos theory of signal design and analysis. Another emphasis is on structuring algorithms for approximate processing and successive refinement. In other research, we are investigating applications of signal and array processing to ocean and structural acoustics and geophysics. These problems require the combination of digital signal processing tools with a knowledge of wave propagation to develop systems for short time spectral analysis, wavenumber spectrum estimation, source localization, and matched field processing. We emphasize the use of real-world data from laboratory and field experiments such as the Heard Island Experiment for Acoustic Monitoring of Global Warming and several Arctic acoustic experiments conducted on the polar ice cap. A major application focus of the group involves signal processing and coding for wireless multiuser systems and broadband communication networks. Specific interests include commercial and military mobile radio networks, wireless local area networks and personal communication systems, digital audio and television broadcast systems, and multimedia networks. Along with a number of other directions, we are currently exploring new code-division multiple- access (CDMA) strategies, new techniques for exploiting antenna arrays in wireless systems, and new methods for modeling and management of traffic in high-speed packet-switched networks. Much of our work involves close collaboration with the Woods Hole Oceanographic Institution, MIT Lincoln Laboratory, and a number of high technology companies in the Boston area.
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        http://hdl.handle.net/10945/51481
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