Topic
Impulse noise
About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.
Papers published on a yearly basis
Papers
More filters
01 Dec 2011
TL;DR: An effective and efficient method of impulse noise removal is proposed which not only removes noise but also preserves edges.
Abstract: This paper proposes an edge preserving filter for removal of impulse noise. Digital images received from various sources are often degraded due to impulse noise and thus become unsuitable for further processing. To overcome this degradation removal of impulse noise is very important. In this paper an effective and efficient method of impulse noise removal is proposed which not only removes noise but also preserves edges. The algorithm first finds noisy, noise free and edge pixels. Then it replaces the noisy pixel with a pixel from its neighbourhood which is nearest to the adaptive median of the noisy pixel, this removes the noise as well as preserves edges and fine image details.
18 citations
04 Dec 2000
TL;DR: In this article, the authors present techniques for characterization of power lines in Singapore power distribution network and methodologies to extract necessary information from the measured data in 1 MHz to 10 MHz frequency range.
Abstract: This paper presents techniques for characterization of power lines in Singapore power distribution network and methodologies to extract necessary information from the measured data in 1 MHz to 10 MHz frequency range. Measurements are made on the noises in actual residential power lines, which are generated from some typical electrical apparatuses used in an ordinary home. The equipment and locations used to obtain our measurements are described. The results of impulse noise measurements in typical residential power lines are presented. Statistical analyses of the measurements are presented in the form of amplitude probability distributions, pulse duration distributions, and interarrival time distributions. From the results obtained so far, it is observed that the noise and signal attenuation of power distribution lines vary with frequency, time and location. These are caused by the rather dynamic nature of power lines and their connected loads that are changing all the time.
18 citations
TL;DR: Numerical results illustrate the efficiency of the NAGM and indicate that such a nonmonotone method is more suitable to solve some large-scale signal processing problems.
18 citations
01 Jan 1999
TL;DR: In this article, the efficiency of temporal and spatial adaptive techniques for impulsive noise mitigation was analyzed for surface wave over-the-horizon radars, especially ones located in tropical areas, such as Northern Australia, and it was shown that for heavily contaminated dwells, new spatio-temporal adaptive processing is most effective.
Abstract: : Surface-wave over-the-horizon radars, especially ones located in tropical areas, such as Northern Australia, are usually strongly affected by external impulsive noise. Apart from thunderstorm activity, man-made (industrial) noise over typically quite long coherent-integration time often is of impulsive nature as well. In this paper we analyse the efficiency of temporal and spatial adaptive techniques for impulsive noise mitigation. We demonstrate that for heavily contaminated dwells, new spatio-temporal adaptive processing is most effective. Initial impulsive noise mitigation, produced by adaptive spatial processing is used for range and azimuth dependent sea-clutter spectrum estimation. Estimated sea-clutter spectrum is then used to 'restore' the 'missing' data, originally contaminated by impulsive noise.
17 citations
TL;DR: This method overcomes the filtering window length selection problem in the median filtering, which can obtain better time–frequency feature extraction performance under the impulse noise interference condition.
Abstract: We hereby propose an Empirical Mode Decomposition (EMD) method improved with a multi-scale median filtering for extraction of the time---frequency feature of telemetry vibration signals under interference from impulse noise. The signal is decomposed into a series of intrinsic mode functions (IMF) by EMD roughly. Median filtering is then performed on each IMF with filter window length varying with the IMF's frequency, respectively. This maneuver will allow effective impulse noise suppression with minimal loss of signal integrity. A new signal can then be reconstructed by adding up each component after the median filtering and treated with a repeat EMD to obtain new IMFs as a final result. This method overcomes the filtering window length selection problem in the median filtering, which can obtain better time---frequency feature extraction performance under the impulse noise interference condition. Data processing results from both a simulation signal and a telemetry vibration signal of a test showed the effectiveness of this method.
17 citations