Many quantum algorithms contain an important subroutine, the amplitude estimation. As name implies, this is essentially parameter estimation problem and thus can be handled via established statistical theory. However, has intrinsic difficulty that system, i.e., real computing device, inevitably introduces unknown noise; probability distribution model then to incorporate many nuisance noise para...

Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...

This paper proposes a new method for online secondary path modeling in feedback active noise control (ANC) systems. In practical cases, the secondary path is usually time-varying. For these cases, online modeling of secondary path is required to ensure convergence of the system. In literature the secondary path estimation is usually performed offline, prior to online modeling, where in the prop...

this paper presents a hybrid technique for simultaneous estimation of parameter and function in inverse heat conduction problems. no prior information is used for the functional form of the heat flux in the present study. the scheme presented here is a combination of two different classical methods: the variable metric method (vmm) and gauss method (gm). the determination of the unknown thermal...

in spite of the existing reports on behavioural and biochemical changes related to the cerebellum due to noise stress, not much is known about the effect of noise stress on the neuronal changes in the cerebellum. the present study aims at investigating the effects from one week noise exposure on granule cell number and purkinje cell volume within the neonate rat cerebellum. 15-day-old male wist...

In this paper, a novel noise reduction method using hybrid noise estimation technique and post-filtering is proposed to suppress both localized and non-localized noise components which can not be dealt with by the traditional methods [2][3][4]. To do this, a hybrid noise estimation approach is proposed by combining our previously constructed multichannel noise estimation approach and a single-c...

in many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. in this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

we propose a method for medical image denoising using calculus of variations and local variance estimation by shaped windows. this method reduces any additive noise and preserves small patterns and edges of images. a pyramid structure-texture decomposition of images is used to separate noise and texture components based on local variance measures. the experimental results show that the proposed...