We consider the problem of estimating a smooth functional of an unknown signal with discontinuity from Gaussian observations. The signal is a known function depending on an unknown parameter. This problem is closely related to the famous change-point problem.We obtain an asymptotic likelihood ratio process for the noise level tending to 0. Bayesian and maximum likelihood estimates are construct...

A widely used subpixel precision estimate of an object center is the weighted center of gravity (COG). We derive three maximum-likelihood estimators for the variance of the two-dimensional (2-D) COG as a function of the noise in the image. We assume that the noise is additive, Gaussian distributed and independent between neighboring pixels. Repeated experiments using 2500 generated 2-D bell-sha...

iran is situated in one of the world's seismic regions and the possibility of destructive earthquakes in most regions of the country has given great significance to recognition of iranian seismic nature from a seismic and seismotectonic standpoint. study of the crust and upper mantle velocity structure in the iranian plateau provides better understanding of its evolution and tectonic histo...

in order to the enhancement of the quality of speech corrupted by additive noise, a speech enhancement method has been put forward based on the combination of spectral subtraction and binary masking. spectral subtraction is a powerful method for removing noise from speech and binary masking provides essential elements to be used in monaural speech segregation. in the proposed combined method, f...

In this paper, we present an analysis for the noise due to finite word length effects for digital signal power processors using Welch’s power spectrum estimation technique to measure the power of Gaussian random signals over a frequency band of interest. The input of the digital signal processor contains a finite-length time interval in which the true Gaussian signal is contaminated by Gaussian...

Introduction Microvascular characteristics of tumours can be assessed by fitting a tracer kinetic model to contrast agent concentration time course data derived from dynamic contrast-enhanced (DCE-) MRI time series. The estimated model parameters, such as K, can be used to monitor the efficacy of anti-angiogenic drugs. Many optimisation algorithms are available for model fitting and it is impor...

There is a wide scope in noise removal from image. It a fundamental and crucial importance in the field of image processing. Because of multi resonate structure Wavelets give a good performance in image denoising. It is also good because of sparsity property. Several researchers considered blur and the basic noise for finding the noise parameter. It is Gaussian smoothing model or in anisotropic...