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 design of peak-constrained weighted least-square error (PCWLSE) Laguerre filters is of interest in signal processing applications. The formulation of such Laguerre filters ends up as a semi-infinite problem with two uncountable variables. Here, an efficient method is proposed to deal with this. Therefore, one can design PCWLSE Laguerre filters to(More)
The Probability Hypothesis Density (PHD) filter is the first-order momentum of Bayesian multi-target filter. The Gaussian Mixture PHD (GM-PHD) implementation is a closed form solution for the PHD filter. When targets are too close to each other, such as occlusion condition, the performance of the GM-PHD filter degrades significantly. In this paper a novel(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 features. We develop an image(More)
The complex Chebyshev error criterion is usually used as a general constraint in design of peak constraint weighted least square error (PCWLSE) filters. It applies an upper bound on the maximum magnitude of error between the desired and designed transfer functions of the filter. Therefore, it confines the corresponding maximum phase error as well. However,(More)