Digital Signal Processing Research Program

• Main Authors: 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.
• Other Authors: Naval Postgraduate School (U.S.), Electrical and Computer Engineering
• Format: Book Part
• Language: unknown
• Published: Monterey, California. Naval Postgraduate School 1997
• Subjects: Arctic; Heard Island; Global warming; Ice cap; Polar Ice Cap
• Online Access: https://hdl.handle.net/10945/51481

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 ...