The M.S. degree has both research and professional tracks. The research track provides the student the opportunity to work on a thesis (applied or basic in nature) under the close supervision of a faculty adviser. Graduate courses are offered in stochastic processes, digital signal processing, statistical signal processing, modern spectral estimation, time-frequency signal analysis, digital speech processing, digital communications, and information theory. Current research projects in this area are in motion analysis to relate body movements to pain, knowledge-based signal processing, statistical signal processing, multidimensional system theory, digital processing of speech signals, spectral estimation, neural networks, stochastic signal processing as applied to communications, image coding, optical processing, nonstationary signal processing, time-frequency distributions, biomedical signal analysis, machine fault monitoring, acquisition and analysis of electrical and magnetic data from the central nervous system, array signal processing, and geophysical applications. The Applied Signal and System Analysis Laboratory supports research in this area.