Mohammad Ali Masnadi-Shirazi

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There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying scene. Based on the observation that typical underlying scenes usually exhibit sparsity in terms of such(More)
Designing optimal filer banks for subband coding applications has recently attracted considerable attention [1]-[5]. In particular, the authors have developed an adaptive algorithm based on stochastic gradient descent (SGD) that enables one to optimize two channel paraunitary filter banks in an on-line fashion [3]. The idea has also been extended to the(More)
Non-quadratic regularization based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point scatterers, or smooth regions. However, many scenes contain a number of such feature types. We develop an(More)
The problem addressed in this work is to simultaneously separate multiple maneuvering sources and track their kinematics (position, velocity, and acceleration) in the working space. It is developed upon the incorporation of the nonstationary independent component analysis (ICA) and the nonlinear state estimator problems in a noisy environment. The sampling(More)