There have beem many studies on the analysis and design of low-noise oscillators. Recently, much attention has been paid to the noise reduction technique using coupled oscillators. When oscillators are coupled, the coupling method is very important and affects various factors, for example, the level of noise. In this study, we analyze the phase noise of multiphase CMOS LC oscillators coupled by...

A new method is proposed to eliminate impulse noise with a random intensity distribution in digital images. The method is based on impulse noise detection by means of a self-organizing tree map (SOTM) and a class of noise-exclusive adaptive filters. The SOTM classifies the image pixels into clusters and locates the cluster centers that represent the mean intensities of the impulse noise. Based ...

Acoustic multi-channel equalization techniques, such as the regularized partial multi-channel equalization technique based on the multiple-input/output inverse theorem (RP-MINT), are able to achieve a high dereverberation performance in the presence of room impulse response perturbations but may lead to additive noise amplification. This paper proposes to directly extend the RP-MINT technique b...

Median filter is widely used to remove impulse noise without blurring sharp edges. However, when noise level increased, or with thin edges, median filter may work poorly. This paper proposes a new filter, which will detect edges along four possible directions, and then replace noise corrupted pixel with estimated noise-free edge median value. Simulations show that the proposed multi-stage direc...

In this paper a multi-statistics model of the impulse noise is presented. An impressive experimental noise data collection acquired from digital access loops provides the synthetic noise environment with the most convenient probability density functions. Internal and external impulse noise sources within communications copper lines are briefly surveyed. A wide-band noise measuring circuit is us...

1 This work is supported by national natural science foundation of China, No.60475036. Abstract –The noise detection model is build up by using SVM-based fuzzy inference system for detecting the impulse noise in an image. The support vectors which are used to confirm the fuzzy basis function and create the corresponding fuzzy rules are extracted from the training samples by the learning mechani...

The performance of an image filtering system depends on its ability to detect the presence of noisy pixels in the image. Most of the impulse detection schemes assume the presence of salt and pepper noise in the images and do not work satisfactorily in case of uniformly distributed impulse noise. In this paper, a new algorithm is presented to improve the performance of switching median filter in...

Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...

Eliminating of impulse noise from images without losing their features is an important requirement in image processing applications. The standard median filter is a good nonlinear filter for eliminating impulse noise; however, it fails to preserve the image details when the window size is made larger. In this paper, three nonlinear filtering schemes, based on Rank-Ordered Logarithmic Difference...

In this paper a comparative analysis to the problem of impulse noise reduction in grey scale image is presented. The basic idea behind this analysis is the maximization of the similarities between pixels in a predefined filtering window. The comparison introduced to this median filter and adaptive filter lies in the establishment of parameters of the similarity function and hence further improv...