This paper considers the problem of sampling frequency offset (SFO) estimation for orthogonal frequency division multiplexing (OFDM) based digital radio mondiale (DRM) systems. In this study, the mean square error (MSE) expression for conventional SFO estimators is derived and their low-complexity variants are reported. The theoretical MSE analysis for different algorithms are validated by Mont...

In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We find theoretical conditions that make proposed family estimators more efficient than the traditio...

This paper defines haw the quality of approximation used in the error transfer function analysis affects the accuracy of the resulting steady-state mean square error (MSE) of the Least-Mean-Square (LMS) adaptive filters. It shows that the error transfer function approach is very accurate for extremely narrow bandwidth input signals, and it deteriorates as the bandwidth of input signal increases.

| A lower bound on the mean square error (MSE) of image reconstruction in emission tomography is obtained and used in the evaluation of diierent image approximations. One component of the lower bound on the MSE is the Cram er-Rao (CR) bound on the error variance. The CR bound for diierent image approximations is derived by knowing how the CR bound is modiied when one is interested in some funct...

A novel, rapid algorithm to speed up and improve the reconstruction of sensitivity encoding (SENSE) MRI was proposed in this paper. The essence of the algorithm was that it iteratively solved the model of simple SENSE on a pixel-by-pixel basis in the region of support (ROS). The ROS was obtained from scout images of eight channels by morphological operations such as opening and filling. All the...

 We consider the problem of estimation the population mean of the study variate Y in presence of measurement errors when information on an auxiliary character X is known. A class of estimators for population means using information on an auxiliary variate X is defined. Expressions for its asymptotic bias and mean square error are obtained. Optimum conditions are obtained for which the mean...

In this study, methods are proposed to diagnose the causes of errors in air quality (AQ) modelling systems. We investigate the deviation between modelled and observed time series of surface ozone through a revised formulation for breaking down the mean square error (MSE) into bias, variance and the minimum achievable MSE (mMSE). The bias measures the accuracy and implies the existence of system...

Abstract In this paper, transform domain adaptive filter and its orthogonality properties such as Discrete Cosine Least Mean Square Transform (DCLMST), Discrete Sine Least Mean Square Transform (DSLMST), Discrete Fourier Least Mean Square Transform (DFLMST), Wavelet Domain Least Mean Square Adaptive Filter (WDLMSAF) and Wavelet Domain Normalized Least Mean Square Adaptive Filter (WDNLMSAF) are ...

The White Noise Hypothesis (WNH) assumes that in the uniform pulse code modulation (PCM) quantization scheme the errors in individual channels behave like white noise, i.e. they are independent and identically distributed random variables. The WNH is key to estimating the mean square quantization error (MSE). But is the WNH valid? In this paper we take a close look at the WNH. We show that in a...

A system model for DS-CDMA (Direct Sequence Code Division Multiple Access) is described in its basic form and performance measure based on Mean Square Error (MSE) and Symbol Error Rate (SER) under Additive White Gaussian Noise is performed. For measuring the performance of DS-CDMA receivers, the channel estimate plays for a crucial role and hence the channel estimation for DS-CDMA is considered...