In this paper, we consider the effect of impulsive noise on the performance of multicarrier code division multiple access (MC-CDMA) systems and analyze the performance by examining the MC-CDMA system model in time domain. We have discovered that conventional Walsh-code based MC-CDMA is less robust to the presence of impulsive noise than the corresponding direct sequence (DS) CDMA and multicarri...

Introduction: The non-Gaussian noise in the practical world can be well characterised by its impulsive nature. Typical impulsive interference may include atmospheric noise, ambient acoustic noise and lightning, switching transients, etc. Since 1993, there has been tremendous interest in the class of symmetric a-stable (SaS) distributions [1], as a generalisation of Gaussian distribution, which ...

Abstract. The phase sensitive demodulation has been widely used in many applications, e.g. impedance measurement, communication, sonar and radar systems. In most cases, white noise is assumed for system analysis and improvement. However, impulsive noise is frequently encountered in many applications, which imposes great challenges in these systems. The paper presents a novel nonlinear filter me...

Introduction: Emergent wireless sensor networks based applications have motivated the development of distributed adaptive estimation schemes. Distributed least mean squares (LMS) [1] and recursive least squares (RLS) type algorithms have received more attentions [2]. Readers can refer to [3] and the references therein for details about up to date diffusion strategies for adaptation and learning...

The LMS-based adaptive order-statistic filters are presented in this paper. The adaptive Ll-filters as extension of the adaptive L-filter for two-dimensional filtering of noisy greyscale images is studied too. Their adaptation properties are studied by three types of noise, the additive white Gaussian noise, the impulsive noise or both, respectively. Moreover, the impulsive noise has the fixed ...

Additive fuzzy systems can filter impulsive noise from signals. Alpha-stable statistics model the impulsiveness as a parametrized family of probability density functions or unit-area bell curves. The bell-curve parameter ct ranges through the interval (0, 2] and gives the Gaussian bell curve when 0t = 2 and gives the Cauchy bell curve when ~t = 1. The impulsiveness grows as ~ falls and the bell...

In this paper, the development and performance study of information-theoretic learning (ITL) based blind equalizer algorithms for inter-symbol interference communication channel environments with a mixture of white Gaussian noise and impulsive noise are presented. A new developed blind equalizer algorithm based on matching two probability density functions of outputs and desired symbols employs...

In this paper, we suggest a neural network signal detector using radial basis function (RBF) network. We employ this RBF Neural detector to detect the presence or absence of a known signal corrupted by different Gaussian, non-Gaussian and impulsive noise components. In case of non-Gaussian noise, experimental results show that RBF network signal detector has significant improvement in performan...

We present a novel approach to the problem of impulsive noise reduction for color images. The new image-filtering technique is based on the maximization of the similarities between pixels in the filtering window. The method is able to remove the noise component, while adapting itself to the local image structure. In this way, the proposed algorithm eliminates impulsive noise while preserving ed...