«Mean squared errors»
۳۱٬۴۶۷ نتیجهMean Square Error for Biorthogonal M-channel Wavelet Coder
We propose a simple and efficient method to compute the weighted mean square error for a biorthogonal M-channel wavelet coder for multidimensional signals. Indeed, biorthogonal filters weight the amount of quantization error which appears on the reconstructed output.We show that
AIPE for the RMSEA 1 Running head: AIPE FOR THE RMSEA Accuracy in Parameter Estimation for the Root Mean Square Error of Approximation: Sample Size Planning for Narrow Confidence Intervals
The root mean square error of approximation (RMSEA) is one of the most widely reported measures of misfit/fit in applications of structural equation modeling. When the RMSEA is of interest, so too should the accompanying confidence interval. A narrow confidence interval reveals t
Notes on Linear Minimum Mean Square Error Estimators
Some connections between linear minimum mean square error estimators, maximum output SNR filters and the least square solutions are presented. The notes have been prepared to be distributed with EE 503 (METU, Electrical Engin.) lecture notes. 1 Linear Minimum Mean Square Error Es
Non-parametric bootstrap mean squared error estimation for M-quantile estimators of small area averages, quantiles and poverty indicators
Small area estimation is conventionally concerned with the estimation of small area averages and totals. More recently emphasis has been also placed on the estimation of poverty indicators and of key quantiles of the small area distribution function using robust models for exampl
Joint gradient-based time-delay estimation and adaptive minimum mean-squared-error filtering Estimation conjointe du delai et filtrage adaptatif bases sur la methode de gradient du minimum de I'erreur quadratique moyenne
A general estimation ntotlel is defined in which two observations are available; one is a noisy version of the transmitted signal. while the other is a noisy filtered and delayed version of the same trimsniitted siglnl. The time-varying delay and the filter are unknown quantities
Mean-Squared Error Analysis of Kernel Regression Estimator for Time Series
Because of a lack of a priori information, the minimum mean-squared error predictor, the conditional expectation, is often not known for a non-Gaussian time series. We show that the nonparametric kernel regression estimator of the conditional expectation is mean-squared consisten
Least Mean Squared Error-Design of Complex FIR Filters with Quantized Coefficients
The design of complex FIR filters with quantized coefficients according to a discrete mean squared error criterion in the frequency domain is revisited. In the first approach the coefficients are quantized step-by-step by recursively solving a system of linear equations. The seco
Minimum mean square error estimator for mobile location using the pseudo-range TOA measurements
Source Localization in the non-synchronous mobile system is a very important issue since it only requires synchronized clocks between the based stations (BSs) and can reduce system complexity. There are time-difference-of-arrival (TDOA) and pseudo-range time-of-arrival (TOA) base
Development of a Root Mean Squared Error Flaw Sizing Criterion
This paper reviews the development of a root mean squared error (RMS) flaw sizing criterion. The effect of using an RMS error criterion for the sizing performance of the PISC II [1-3] inspection teams is investigated. A crucial part of establishing an RMS error sizing criterion i
Weighted Mean Squared Error Criterion with Fixed-level Modification for Linear-phase Fir Filter Design*
This paper describes a new approach--a Fixed-Level Least Squares (FLLS) method for linear-phase FIR filter design. It is intended for rejection of the Gibbs phenomenon through the introduction of a set of equally spaced fixed levels in the transition band and subsequent redefinit