Comparison of graph structures is a frequently encountered problem across a number of problem domains. Comparing graphs requires a metric to discriminate which features of the graphs are considered important. The spectrum of a graph is often claimed to contain all the information within a graph, but the raw spectrum contains too much information to be directly used as a useful metric. In this p...

Spatial multiplexing (SMX) multiple-input multipleoutput (MIMO) systems are promising candidates to enhance the achievable throughput and the overall spectral efficiency in future wireless systems. Performance studies of these systems over different channel conditions assume simplified models for the channel phase distribution. This paper highlights the impact of the channel phase distribution ...

The oft-used log-normal distribution for sol®ing many population-balance problems is in fact a degenerate case of a Hermite function expansion of the solution in log particle-size coordinate. Correcti®e capabilities of such an expansion constitute ®ast impro®ements not only o®er those using the log-normal distribution, but also o®er discretization methods in that moments other than those design...

Multi spectral image classification method with selection processes of independent spectral features through correlation analysis is proposed. The proposed method is validated by applying to the polarimetric Synthetic Aperture Radar: SAR data. Also Probability Distribution Function: PDF for of features are checked and confirmed the most independent PDF allows greatest classification performance...

A stair Laguerre pseudospectral method is proposed for numerical solutions of differential equations on the half line. Some approximation results are established. A stair Laguerre pseudospcetral scheme is constructed for a model problem. The convergence is proved. The numerical results show that this new method provides much more accurate numerical results than the standard Laguerre spectral me...

A classification strategy which does not require a priori assumptions about the statistical distribution of training pixels in each class is proposed. This method uses an indicator kriging approach in feature space to classify remotely sensed images incorporating both spectral and textural information of bands. Texture information is used only in cases where spectral information is not sufficie...

in this paper, the chebyshev spectral collocation method(cscm) for one-dimensional linear hyperbolic telegraph equation is presented. chebyshev spectral collocation method have become very useful in providing highly accurate solutions to partial differential equations. a straightforward implementation of these methods involves the use of spectral differentiation matrices. firstly, we transform ...