Suppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filterin...

Impulsive noise is one of the imposed defectives degrades the quality of images. Performance of many image processing applications directly depends on the quality of the input image. Hence, it is necessary to de-noise the degraded images without losing their valuable information such as edges. In this paper we propose a method to remove impulsive noise from color images without damaging the ima...

This paper presents a simple and cost effective method to remove the periodic impulsive noise in power-line communications (PLC) system. In the real PLC environment, some electrical appliances will produce impulsive noise at a fixed frequency with the power spectral density (PSD) usually exceeding that of the received signals. This type of impulsive noise is the periodic impulsive noise, and it...

Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...

The impulsive noise is the main cause of packet errors in power line communication networks. In this paper, the bit error rate (BER) and medium access control (MAC) protocol analytical models under impulsive noise interference are developed. The accuracy of the developed models is verified by computer simulations. In the computer simulations, the Poisson arrival of the impulsive noise is simula...

This paper addresses the performance of MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an iterative technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel...

mpulsive noise consists of relatively short duration " on/off " noise pulses, caused by a variety of sources, such as switching noise, adverse channel environments in a communication system, dropouts or surface degradation of audio recordings, clicks from computer keyboards, etc. An impulsive noise filter can be used for enhancing the quality and intelligibility of noisy signals, and for achiev...

Power line channels are often badly corrupted by impulsive noise. In this paper, an impulsive noise cancellation method for MIMO power line communication is proposed. First, the received signal is transformed into frequency domain and MIMO detection is carried out. Then, the detected signal is transformed back to time domain and the noise estimation can be obtained by subtracting detected signa...

Image deblurring and denoising are the fundamental problems generally arise in the field of image processing with several applications. This paper presents both areas of image restoration. Image deblurring and denoising methods are most commonly designed for removal of both impulsive noise and Gaussian noise. Impulsive noise is a most common noise which affects the image quality during image ac...

As reducing impulse noise in a digital image is a very active research area in image processing, this paper proposes a novel algorithm for digital image impulsive noise detection and reduction based on adaptive nonlinear techniques which seems to be a boom in digital image restoration process. The main objective of this algorithm is to consider a particular digital image as input and make the p...