The contourlet transform has the benefit of efficiently capturing the oriented geometrical structures of images. In this paper, by incorporating the ideas of Stein’s Unbiased Risk Estimator (SURE) approach in Nonsubsampled Contourlet Transform (NSCT) domain, a new image denoising technique is devised. We utilize the characteristics of NSCT coefficients in high and low subbands and apply SURE sh...

Signal processing in non-Gaussian noise environment is addressed in this paper. For many real-life situations, the additive noise process present in the system is found to be dominantly non-Gaussian. The problem of detection and estimation of signals corrupted with nonGaussian noise is difficult to track mathematically. In this paper, we present a novel approach for optimal detection and estima...

langevin equation for a nano-particle suspended in a laminar fluid flow was analytically studied. the brownian motion generated from molecular bombardment was taken as a wiener stochastic process and approximated by a gaussian white noise. euler-maruyama method was used to solve the langevin equation numerically. the accuracy of brownian simulation was checked by performing a series of simulati...

In this contribution, we address the issue of Blind Source Separation (BSS) in non-Gaussian noise. We propose a twostep approach by combining the fractional lower order statistics (FLOS) for the mixing matrix estimation and minimum entropy criterion for noise-free source components estimation with the gradient-based BSS algorithms in an elegant way. First, we extend the existing gradient algori...

In this contribution, we address the issue of Blind Source Separation (BSS) in non-Gaussian noise. We propose a twostep approach by combining the fractional lower order statistics (FLOS) for the mixing matrix estimation and minimum entropy criterion for noise-free source components estimation with the gradient-based BSS algorithms in an elegant way. First, we extend the existing gradient algori...

In order to improve the performance of multi-user detector, this paper analyses a new algorithm, Gaussian sum particle filter (GSPF). This algorithm approximates the filtering and predictive distributions by weighted Gaussian mixtures and is basically banks of Gaussian particle filters (GPF). Then, GSPF is used in dynamic state space (DSS) models with non-Gaussian noise. The non-Gaussian noise ...

In this work the performance of a wavelength division multiple access (WDMA) system with direct detection receiver is investigated. For this purpose, the probability of error in a WDMA network with OOK modulation considering crosstalk, ISI, photo detector noise and thermal noise is calculated and the effect of each on system performance is investigated. The system performance in presence of PIN...