This paper studies a resource allocation problem in a graph, concerning the joint optimization of capacity allocation decisions and object placement decisions, given a single capacity constraint. This problem has applications in internet content distribution and other domains. The solution to the problem comes through a multi-commodity generalization of the single commodity k-median problem. A ...

Techniques for detection performance prediction for maritime surveillance radars are described, with particular emphasis on the use of the compound K-distribution model for radar sea clutter. The paper first briefly reviews the analytical methods for deriving theoretical detection performance limits using compound models for both clutter and targets. Next, it is shown how the clutter environmen...

This paper reviews a number of different moment-based methods for estimating the parameters of the K distribution. The K distribution is a model for the statistics of synthetic aperture radar (SAR) imagery that is formed from the product of two independent distributions, one representing the radar cross-section, and the other representing speckle that is a characteristic of coherent imaging. A ...

An extension of the correlated-k distribution method that uses spectral-mapping techniques was derived to parameterize line-by-line absorption coefficients for multiple gases simultaneously for use in threedimensional atmospheric models. In a variation from previous correlation techniques, this technique ensures exact correlation of absorption frequencies within a probability interval for all g...

Broadband wireless interference in a computer platform is the result of multiple dynamic electromagnetic emission sources. This interference is non-Gaussian and a receiver design based on the Gaussian assumption will yield suboptimal performance. In fact, it has a double-sided K-distribution and needs to be treated differently in the design process. When dealing with this type of interference i...

In this paper we model speckle as signal-dependent additive noise, and propose to use the normal inverse Gaussian distribution as a statistical model for the wavelet coefficients of both the reflectance image and noise image. Further, we show how to estimate the parameters specifying these distributions from the parameters included in the K-distribution modeling the intensity of a SAR image. we...

This report studies the spatial distribution of X-band, high resolution and high grazing angle polarimetric sea clutter data. The K distribution usually provides a good fit for the distribution of the VV polarised data. The HH polarised data is spikiest and its distribution exhibits a sudden departure from the K distribution in the tail region, which usually requires the KA or the similar distr...

We report photoluminescence studies on some GaInAsIAIGaInAs superlattices lattice matched to InP. An electric field was applied along the growth axis. The spectra recorded at temperatures between 10 K and 300 K, present only one peak, the energy of which does not vary with the strength of the electric field. Moreover, the intensity of the peak does not monotonely vary with the temperature. Thes...

We present a flexible time-domain synthetic aperture radar signal simulation system. We demonstrate its use in simulating clutter, stationary and moving targets. The point target analysis shows that the observed impulse response agrees with theoretical values. Clutter results how that the observed clutter corresponds to K distribution model. We also demonstrate that the system may be used for t...

ABSTRACT : The multilook polarimetric maximum likelihood classifier based on the Wishart distribution supposes no variation of the backscattering of the underlying scene. For clutters verifying the « product model », we here present the use of a K-distribution and compare this classifier to the one based on the Wishart distribution. A simple way to obtain a full polarimetric filter by filtering...