For a sinusoidal signal, buried in white Gaussian noise, as an input to a parallel array of bistable oscillators, it is reported that conditions exist where the signal-to-noise ratio gain exceeds unity, for both subthreshold and suprathreshold sinusoids. The performance of infinite arrays is closely approached by finite arrays of moderate size, representing a novel method of applying the stocha...

Introduction: Functional MRI methods have been used to study sensorimotor processing in the brain and the Spinal cord. However, these techniques confront unwanted contributions to the measured signal from physiological fluctuations. For the spinal cord imaging, most of the challenges are consequences of cardiac and respiratory movement artifacts that are considered as signifi...

ABSTARCT: -This paper will discuss various method of noise reduction for wireless communication network. Noise is an, unwanted and inevitable interference, in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of processing of the signal contributes to the noise addition. A signal traveling through the channel also ga...

In all methods of image denoising there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but threshold is the key in wavelet and contourlet denoising. In order to distinguish noise and edge well, most methods in wavelet denoising are about the improvement of threshold. Aiming to resolve this problem, a new method...

A novel patch based adaptive diffusion method is presented for image denoising. This is done with the purpose of locally and feature adaptive diffusion and for attaining patch-wise best peak signal to noise ratio. Our framework uses over-segmentation method to segment the image in to sensible regions and then diffusion of each segment/region to obtain the near-optimal solution and iterates to a...

In this paper, a signal processing method is proposed to estimate the low and high-frequency impedances of power systems using several short-term low power signal injections for a frequency range of 0-150 kHz. This frequency range is very important, and thusso it is considered in the analysis of power quality issues of smart grids. The impedance estimation is used in many power system applicati...

The present paper, proposes an efficient denoising algorithm which works well for images corrupted with Gaussian and speckle noise. The denoising algorithm utilizes the alexander fractional integral filter which works by the construction of fractional masks window computed using alexander polynomial. Prior to the application of the designed filter, the corrupted image is decomposed using symlet...