The ever increasing demand on remote sensing capabilities directly conflicts with the
accelerating loss of spectrum allocation. Increased spectral awareness and waveform …

The desire to autonomously anticipate, find, fix, track, target, engage, and assess, anything,
anytime, anywhere (AF2T2EA4) in spectrally dense environments will require changes to …

The problem of clutter region identification based on Markov random field (MRF) models is
addressed. Observations inside each clutter region are assumed homogenous, ie …

A new environment for the rapid development of embedded signal processing software is
described. The environment encourages incremental design via modular and hierarchical …

Using thresholding techniques it is possible to separate between contiguous non-
homogeneous patches with different power levels. When the power levels of the patches are …

Gaussian receivers perform poorly in detecting small targets in non-Gaussian clutter, but
significant improvement is available by using an appropriate non-Gaussian receiver …

In signal processing applications it is common to assume a Gaussian problem in the design
of optimal signal processors. However, non-Gaussian processes do arise in many situations …

A new automated approach is proposed for subdividing IR images into homogeneous
regions and for approximating the probability density function underlying the random data in …

New results are presented for coherent detection of radar signals with random parameters in
correlated non-Gaussian clutter. Clutter is modeled as a spherically invariant random vector …

This paper addresses the problem of clutter patch identification based on Markov random
field (MRF) models. MRF has long been recognized by the image processing community to …