Although many existing noise parameter estimations of image signal-dependent have certain denoising effects, most methods are not ideal. There some problems with these methods, such as poor suppression smooth details, lack flexible ability, etc. To solve problems, in this study, we propose a deep algorithm. The algorithm combines the model method convolutional neural network. We use level and t...

Objective The hippocampal circuit integrity is crucial for learning and memory. Despite the existing reports on hippocampal–dependent memory impairment due to noise stress, there are only a few studies on the effect of noise stress on anatomical structure of hippocampus. The present study is aimed to investigate the likely effects of chronic noise exposure on the volume of rat hippocampus. Mate...

introduction hippocampus is a well-defined brain region involved in learning and memory. in spite of the existing reports on hippocampal-dependent memory impairment due to noise stress, to our knowledge, there is no study on the effect of noise stress on the size of hippocampus. the present study aimed to investigate the likely effects of chronic noise exposure on learning and the size of rat h...

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...

An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters is often hard. While extended Kalman filters have been used for this purpose, the choice of the process noise covariance is generally unclear. Here, we address this issue for biomolecular systems using a combination of Monte Carlo simula...

A noise is introduced in the transmission medium due to a noisy channel, errors during the measurement process and during quantization of the data. For digital storage each element in the imaging chain such as lenses, film, digitizer, etc. contributes to the degradation. Image noise removal is often used in the field of photography or publishing where an image was somehow degraded but needs to ...

CONTENTS WHY SHOULD MATHEMA'IICS PI-AY A ROLE IN PSYCHOLOGY? ............................ Structure. Pattern. and Process ........................................................................................... What Keeps Mathematical Psvchology . from Being an 0.xvmoron Y ................................... FOUR DISTINCTIONS .....................................................................

Stability and convergence properties of stochastic approximation algorithms are analyzed when the noise includes a long range dependent component (modeled by a fractional Brownian motion) and a heavy tailed component (modeled by a symmetric stable process), in addition to the usual ‘martingale noise’. This is motivated by the emergent applications in communications. The proofs are based on comp...