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In this paper, an attempt for designing an acceptance sampling plan with the truncated life test when the life time of an item follows exponentiated exponential distribution with known shape parameter. The design parameters that portray minimum sample size and operating characteristic function for the sampling plan with various quality levels are enumerated and suitable illustration are presented.
Hough Transform (HT) is commonly used to solve the line extraction problem. Although images are discretized at the onset, the Hough domain is continuous and in practice it has to be partitioned into cells. It has been suggested that the optimality of the size (resolution) of those cells would depend on the amount noise in the image. In this paper, we study the effect of discretization on the success...
Motivated by the increased consideration of probability distributions as local descriptors of shape, we propose a local descriptor based on a bivariate circular distribution. Although some bivariate circular distributions are difficult to compute, our descriptor is computationally feasible because it is a generalization of the mixture of von Mises distributions. Using various shapes formed by line...
A priori knowledge of the clutter statistics is required in maximizing a radar detection range. Much research has been done in analyzing various types of land clutter terrains including urban, forest and crops terrains. However, analysis of palm trees terrain has not been addressed in the open literature. Palm trees have a unique structure, which make them different from other type of trees. Date...
In complicated high dynamic scene, current gamma correction methods sometimes suffer from a loss of local details in certain regions of different luminance. In this paper, an adaptive local gamma correction method based on mean value adjustment is proposed, which is aimed at improve local details in both dark and bright regions in image. As the preprocessing, a global enhancement method is applied...
Wind power resources are abundant in India; as a result the wind power industry has entered a period of rapid growth, and has been facing new challenges currently. Wind power is environment friendly and renewable in nature. The wind is caused by an air in motion and is produced by the uneven heating of the earth's surface by the sun. The wind speed has been one of the most significant parameter in...
Efficient and accurate extraction of physically-relevant features from measured radar data is desirable for automatic target recognition (ATR). In this paper, we present an estimation technique to find credible sets of parameters for any given feature model. The proposed approach provides parameter estimates along with confidence values. Maximum a posteriori (MAP) estimates provide a single (vector)...
In this paper non-Gaussian noise modelling is addressed, HOS-based parametric pdf models are investigated in order to provide realistic noise modelling by means οΓ easy and quick estimation of needed parameters. Attention is focused on the generalized Gaussian pdf. This model, generally depending on a real theoretical parameter c. difficult to estimate from data, is proposed expressed in terms of...
In this paper we propose a new anisotropic smoothing method that mimic the statistical noise distribution. First, we estimate the probability density function (pdf) of the noise data, then we incorporate the estimated pdf into a convolution formulate that, when expressed on mesh gives arise to an updating formulae that allows to reduce iteratively the noise. To preserve the edges and corners during...
In this work we explore the class of heavy-tailed distributions and discuss their signicance in reliability engineering. At the same time we discuss measures of divergence which are extensively used in statistics in various elds. In this paper we rely on such measures to evaluate the residual and past lifetimes of events which are associated with the tail part of the distribution. More specifically,...
In this article, the product of three arbitrary, independent and non-identically distributed α-μ random variables is considered. Exact, reasonably simple, closed-form expressions for the probability density and the cumulative distribution functions, as well as the moments of the resulting distribution, are derived. These results find application, for instance, in radar communications, MIMO links,...
In order to develop a computer-aided diagnosis system for histopathological skin cancer diagnosis, segmentation of the epidermis area is the very first and crucial step. An improved computer-aided epidermis segmentation technique for the whole slide skin histopathological image is proposed in this paper. The proposed technique first obtains an initial segmentation result with the help of global thresholding...
Aiming at a class of nonlinear stochastic systems with additive Gaussian White noise and the polynomial nonlinear function we propose a shape control technique for probability density function (PDF) of the state variable. Controlling the PDF shape requires to design a controller making the PDF shape as close as possible to the desired PDF, and this actually is to determine the parameters of the controller...
We deal with performance prediction of the incoherent radar receiver (i.e. squared-law plus integrator) in the presence of independent non-identically distributed (non-id) Weibull target echoes. First of all, we provide the probability density function (pdf) for the sum of independent but non-id Weibull random variables in terms of an infinite sum of Gamma pdfs. Then, we develop an analytic expression...
We deal with the performance prediction of the incoherent radar receiver (i.e. squared-law plus integrator) in the presence of independent and possibly non-identically distributed target backscattered echoes. Specifically, we first approximate the lognormal sums with a new lognormal probability density function (pdf). Based on the approximation, we develop an approximate expression of the detection...
This paper develops a new constructing approach of an appropriate membership function to integrate a given probability density function and fuzzy Shannon entropy extending the statistical theory into the heuristic method based on the human cognitive behavior and subjectivity. The proposed approach is formulated as a more general mathematical programming problem than previous approaches due to using...
Utilizing the composite sampling method, non-Gaussian processes with additive distribution form can be generated. By means of assignment of couples of poles on the zero-pole plot, the low order autoregressive filter which used in the qualitative colorizing can be realized. Passing non-Gaussian driving through autoregressive filter, the colored non-Gaussian processes which are often used in simulation...
In this paper we deal with the performance prediction of the incoherent radar receiver in the presence of arbitrary correlated, possibly non-identically distributed target backscattered echoes. The problem is of interest in some common scenarios accounting for frequency agility, polarization as well as spatial diversity. We develop analytic expressions for the detection probability in terms of power...
In this paper we deal with an unsupervised segmentation approach for images given by a synthetic aperture sonar (SAS). The images with objects are segmented into highlight, background and shadow. Since the shape features are extracted from these segmented images, correctness and precision of the segmentation are highly required. We improve the expectation-maximization (EM) methods of Sanjay-Gopal...
In this paper we study the problem of score normalization in biometric verification systems. Specifically, we introduce a new class of normalization techniques, which unlike the commonly used parametric score normalization techniques, such as z- or t-norm, make no assumptions regarding the shape of the underlying score distribution. The proposed class of normalization techniques first estimates the...
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