نتایج جستجو برای: scaled mse

تعداد نتایج: 26118  

2012

OBJECTIVE: To examine the association between movie smoking exposure (MSE) and adolescent smoking according to rating category. METHODS: A total of 6522 US adolescents were enrolled in a longitudinal survey conducted at 8-month intervals; 5503 subjects were followed up at 8 months, 5019 subjects at 16 months, and 4575 subjects at 24 months. MSE was estimated from 532 recent box-office hits, blo...

Journal: :Pediatrics 2012
James D Sargent Susanne Tanski Mike Stoolmiller

OBJECTIVE To examine the association between movie smoking exposure (MSE) and adolescent smoking according to rating category. METHODS A total of 6522 US adolescents were enrolled in a longitudinal survey conducted at 8-month intervals; 5503 subjects were followed up at 8 months, 5019 subjects at 16 months, and 4575 subjects at 24 months. MSE was estimated from 532 recent box-office hits, blo...

Journal: :CoRR 2006
Jacob Binia

— New bounds on the rate distortion function of certain non-Gaussian sources, with a proportional-weighted mean-square error (MSE) distortion measure, are given. The growth, g, of the rate distortion function, as a result of changing from a non-weighted MSE distortion measure to a proportional-weighted distortion criterion is analyzed. It is shown that for a small distortion, d, the growth, g, ...

2004
Eric V. Slud Tapabrata Maiti

The problem of accurately estimating the Mean Squared Error (MSE) of Small Area Estimators (SAE’s) within a Fay-Herriot (1979) normal-error model is studied theoretically in the common setting where the model is fitted to a logarithmically transformed response variable. For bias-corrected EBLUP small-area point estimators, MSE formulas and estimators are provided, with biases of smaller order t...

2009
Alessandro Nordio Carla-Fabiana Chiasserini Emanuele Viterbo

This paper presents an accurate and simple method to evaluate the performance of AD/DA converters affected by clock jitter, which is based on the analysis of the mean square error (MSE) between the reconstructed signal and the original one. Using an approximation of the linear minimum MSE (LMMSE) filter as reconstruction technique, we derive analytic expressions of the MSE. Through asymptotic a...

2014
Hala M. Abd Elkader Gamal Mabrouk Reham S. Saad

In this paper, we present performance of pilot based channel estimation techniques such as Least Squares (LS) and Linear Minimum Mean Square Error (LMMSE) for different interpolation methods and modulation schemes. The performance is evaluated using the mean squared error (MSE) as the performance metric of interest for downlink LTE system. Simulation results show that for low SNR environment, a...

2004
V. Fotopoulos A. N. Skodras

In this paper a new variation of the well known MAE (Mean Absolute Error) matching criterion for video coding applications, is introduced. The MAE criterion is simpler than the MSE criterion because of the lack of multiplication operations, but it achieves a lower performance in terms of PSNR and MSE. In this work we impose an additional statistical constraint over the MAE thus filling the perf...

Journal: :IEEE Trans. Signal Processing 1999
Stuart Golden Benjamin Friedlander

In this paper, we model complex signals by approximating the phase and the logarithm of the time-varying amplitude of the signal as a finite-order polynomial. We refer to a signal that has this form as an exponential polynomial signal (EPS). We derive an iterative maximum-likelihood (ML) estimation algorithm to estimate the unknown parameters of the EPS model. The initialization of the ML algor...

2017

where Cij = 1 1+λ ( uiujβ lilj √ α ), C ′ ij = 1 (1+λ)α(lilj) , and the model converges to the optimal model, then the MSE of λG(wt) is smaller than the MSE of G(wt) in approximating Hessian H(wt). Proof: For simplicity, we abbreviate E(Y |x,w∗) as E, Gt as G(wt) and Ht as H(wt). First, we calculate the MSE of Gt, λGt to approximate Ht for each element of Gt. We denote the element in the i-th r...

2004
Christ D. Richmond

The threshold region mean squared error (MSE) performance of the Capon-MVDR algorithm is predicted via an adaptation of an interval error based method referred to herein as the method of interval errors (MIE). MIE requires good approximations of two quantities: (i) interval error probabilities, and (ii) the algorithm asymptotic (SNR→ ∞) MSE performance. Exact pairwise error probabilities for th...

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