نتایج جستجو برای: for example mean square errors mse
تعداد نتایج: 10561548 فیلتر نتایج به سال:
In this paper, Wavelet Transform, Fractional Fourier Transform (FrFT) and Fractional Cosine Transform (FrCT) are compared using Mean Square Error (MSE) and Peak signal-toNoise Ratio (PSNR) in the field of image compression. Wavelet provides better MSE and PSNR at lower Compression Ratio (CR), whereas FrFT provides good result at higher CR and FrCT provides same results as that of Wavelet at hig...
The electrocardiogram (ECG) is an important diagnosis event for emergency cardiac patient. But the problem is, the ECG signal is easily corrupted by the different noise signals such as, power line interference (PLI), the external electromagnetic fields, random body movements, etc. It is observed that the patient does not get proper treatment due to the deficiency of proper cardiac detection. Th...
We present an algorithm for low rank approximation of matrices where only some of the entries in the matrix are taken into consideration. This algorithm appears in recent literature under different names, where it is described as an EM based algorithm that maximizes the likelihood for the missing entries without any relation for the mean square error minimization. When the algorithm is minimize...
The issue of channel estimation is investigated for the UHF MIMO-RFID systems over pinhole channel. A training sequences aided linear minimum mean square error (LMMSE) channel estimation is proposed for the whole pinhole channel at the reader. Based on the mean square error (MSE) criterion, the MSE bound and the optimal training scheme with this bound are derived. By exploiting the optimal trai...
Small area estimation has received considerable attention in recent years due to growing demand for reliable small area statistics• The usual survey estimates, based only on the data from a given small area (domain), are likely to be unreliable due to smallness of sample size in the domain. Therefore, alternative estimators which "borrow strength" from other areas have been proposed in the lite...
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images can be tuned using two filtering parameters. We propose an automatic setting to select these parameters based on estimated mean square error (MSE) minimi...
This paper proposes some ratio-type estimators for population mean using known skewness coefficient of auxiliary variable. Theoretically, the expressions of mean square error(MSE) up to first order of approximation for all proposed ratio estimators are obtained. The efficiency between the proposed estimators and some known estimators is compared. The results are supported by an application with...
In this paper, we introduce the diagonal of the modified Riesz distribution defined in 2 , IR r r . We propose the estimators of different parameters of this new distribution by two method, firstly by the moment method and secondly by the maximum likelihood method. The performance of the both estimators are studied by calculating the Mean Square Error (MSE). KeywordsDiagonal of the modified R...
In this article we provide some nonnegative and positive estimators of the mean squared errors(MSEs) for shrinkage estimators of multivariate normal means. Proposed estimators are shown to improve on the uniformly minimum variance unbiased estimator(UMVUE) under a quadratic loss criterion. A similar improvement is also obtained for the estimators of the MSE matrices for shrinkage estimators. We...
Incorrect evaluation of equivalent circulating density (ECD) while drilling oil and gas wells may result in problems such as lost circulation, kicks, differential pipe sticking etc especially narrow margins. Due to the incompressible nature liquids, increase wellbore pressure will only have appreciable effect on fluid rheology at higher pressures, whereas a small temperature cause decrease rheo...
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