Prof Emeritus, Electrical and Computer Engineering
Statistical signal analysis, with a particular emphasis on time series analysis and adaptive filtering algorithms for dependent data. Professor Masry's work covers a wide range of topics in communication systems, signal processing, and mathematical statistics: He made extensive contributions in the areas of covariance, spectral, and probability density estimation, inverse problems in nonlinear systems, optimal sampling designs and Monte Carlo integration, deconvolution methods in probability density and regression functions estimation, local polynomial regression fitting for short-range and long-range dependent data, wavelet representation of stochastic processes and applications to function estimation, estimation and identification of stationary nonlinear ARCH and ARX systems, sampling theorems for stochastic processes, interference rejection in spread-spectrum communication systems, and analysis of adaptive filtering algorithms. Current research interests include multivariate curve estimation using wavelet bases, local polynomial regression fitting for short-range and long-range dependent data, estimation and identification of nonlinear time series, and analysis of adaptive filtering algorithms for communication systems. His projects include a CoRe-funded to study on "Space-Time Processing for Wireless." with focus on blind adaptive algorithms for channel equalization and multiuser detection.
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