Aims. We seek to find a shapelet-based scheme for deconvolving galaxy images from the PSF which leads to unbiased shear measurements. Methods. Based on the analytic formulation of convolution in shapelet space, we construct a procedure to recover the unconvolved shapelet coefficients under the assumption that the PSF is perfectly known. Using specific simulations, we test this approach and comp...

We report on the sensitivity of SPIRE photometers on the Herschel Space Observatory. Specifically, we measure the confusion noise from observations taken during the Science Demonstration Phase of the Herschel Multi-tiered Extragalactic Survey. Confusion noise is defined to be the spatial variation of the sky intensity in the limit of infinite integration time, and is found to be consistent amon...

The problem of matching two scenes, one contained in the other, arises in many practical picture processing tasks including stereocompilation, classification of photographic data, and map matching for navigation and guidance. Because the images are not exact replicas, but rather noisy and perhaps geometrically distorted versions of the original scenes, it is necessary to develop a body of theor...

When recovering an unknown signal from noisy measurements, the computational difficulty of performing optimal Bayesian MMSE (minimum mean squared error) inference often necessitates the use of maximum a posteriori (MAP) inference, a special case of regularized M-estimation, as a surrogate. However, MAP is suboptimal in high dimensions, when the number of unknown signal components is similar to ...

A grazing bifurcation corresponds to the collision of a periodic orbit with a switching manifold in a piecewise-smooth ODE system and often generates complicated dynamics. The lowest order terms of the induced Poincaré map expanded about a regular grazing bifurcation constitute a Nordmark map. In this paper we study a normal form of the Nordmark map in two dimensions with additive Gaussian nois...

in recent years noise has been well known as an environmental pollution. particularly its effects will be more serious in some environments including hospitals which patients need a calm and peaceful condition. this study aims to evaluate hospitals noise pollution level. this study is a cross-sectional study. noise measurements were made in all hospital wards in a workday and weekend from 8 to ...

In this paper, we describe the spatio-temporall map which is an original algorithm to learn and recognize dynamic patterns represented by sequences. This work is slanted toward an internal and explicit representation of time which seems to be neuro-biologically relevant. The map involves units with diierent kinds of links: feed-forward connections, intra-map connections and inter-map connection...

Traditional saliency analysis models have made great advances in region of interest (ROI) extraction in natural scene images and videos. However, due to different imaging mechanisms and image features, those approaches are not quite appropriate for remote sensing images. Thus, we propose a novel saliency analysis and ROI extraction method for remote sensing images, which is composed of local–gl...

The increasing availability of data presents an opportunity to calibrate unknown parameters which appear in complex models phenomena the biomedical, physical and social sciences. However, model complexity often leads parameter-to-data maps are expensive evaluate only available through noisy approximations. This paper is concerned with use interacting particle systems for solution resulting inve...

Operations with flexible, compliant manipulators over large workspaces relative to the manipulator are complicated by sensor noise, vibration, and measurement bias. These difficulties are compounded by unstructured environments, such as those encountered in humanitarian demining. By taking advantage of the static structure of the terrain and the manipulator’s fundamental mechanical characterist...