A method of estimation of the partial derivatives of a multivariate probability density using wavelet systems is proposed. Rates for the almost sure convergence of these estimators are investigated.

Segmentation, a new method, for color, gray-scale MR medical images, and aerial images, is proposed. The method is based on gray-scale morphology. Edge detection algorithm includes function edge andâ€¦ (More)

We develop a wavelet based linear density estimator for the estimation of the probability density function for a sequence of associated random variables with a common onedimensional probabilityâ€¦ (More)

Fractal-skeletal based channel network (F-SCN ) model, which describes how the boundary of the basin constrains the channel network evolution, produces a channel network pattern that obeys Hortonâ€™sâ€¦ (More)

We study maximal inequalities for demisubmartingales and N-demisupermartingales and obtain inequalities between dominated demisubmartingales. A sequence of partial sums of zero mean associated randomâ€¦ (More)

Self-similar stochastic processes are used for stochastic modeling whenever it is expected that long range dependence may be present in the phenomenon under consideration. After discusing some basicâ€¦ (More)

Most of the research in remote sensing is focused on developing well-defined and reliable automated process for the extraction of information from different types of imagery. In this communication weâ€¦ (More)

1 Department of Electronics and Communication Engineering (ECE), Jagannath Institute for Technology and Management (JITM), Parlakhemundi, Gajapati 761211, Orissa, India 2 Gandi Institute ofâ€¦ (More)

Let {Yn, nâ‰¥ 1} be a sequence of nonmonotonic functions of associated random variables. We derive a Newman and Wright (1981) type of inequality for the maximum of partial sums of the sequence {Yn, nâ‰¥â€¦ (More)