An impulse noise detection scheme employing machine learning (ML) algorithm in Orthogonal Frequency Division Multiplexing (OFDM) is investigated. Four powerful ML's multi-classifiers (ensemble) algorithms (Boosting (Bos), Bagging (Bag), Stacking (Stack) and Random Forest (RF)) were used at the receiver side of the OFDM system to detect if the received noisy signal contained impulse noise or not...

A spatial domain non linear filtering algorithm for the restoration of gray scale, and Color images that are corrupted by high density impulse noise is proposed. The proposed algorithm well suited for suppressing impulse and also Gaussian noises with different noise leves.It shows better results than the Standard Median Filter (MF), Trimmed Median Filter (TMF) and Weighted Median Filter. Experi...

Abstract— This Paper Presents Comparative Study of High Density Impulse Noise Removal method. Impulse noise is interference information pixels which result the black and white dots are spread distributed on the image. This type of noise can be caused by analog-to-digital converter errors, bit errors in transmission. Modified Mean-Median & ROM (MMM&R) filter that used to reduce impulse noise. Me...

In this paper, noise reduction performance of a switching vector median filter with a random-valued impulse noise detector for color images is evaluated. As a random-valued impulse noise detector, a method utilizing the minimum spanning tree (MST) is employed. In the switching vector median filter, the impulse noise detector is employed before filtering, and the detection result is used to cont...

BACKGROUND The permanent hearing loss following exposure to intense noise can be due either to mechanical structural damage (tearing) caused directly by the noise or to metabolic (biochemical) damage resulting from the elevated levels of free radicals released during transduction of the sound overstimulation. Drugs which depress active cochlear mechanics (e.g. furosemide and salicylic acid) or ...

Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Impulse noise reduction method is one of the critical techniques to reduce the noise in color images. In this paper the impulse noise reduction method for color images by using Fuzzy Logic is im...

Noise exposure has been characterized as a stressor, and its non-auditory effects on the central nervous system have been established both epidemiologically and experimentally. Little is known about the impact of impulse noise on the brain, however. In this study, we examined the effects of impulse noise stress on spatial learning and memory and on associated changes in the hippocampus. Rats we...

In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a signiicant gain in performance can be achieved with considerably smaller complexity. ...

Transient waves, like all other acoustic waves, will diffract around solid objects, such as measurement instrumentation. A derivation of an impulse response function on the surface of a rigid sphere, based on linear, classical scattering theory, is presented. The theoretical impulse response function is validated using an experiment with blast noise. An application of the impulse response funct...

In this paper, we propose a simple fuzzy-based algorithm to remove the impulse noise from images. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters can effectively remove the impulse noise.