Mean Square Error Convergence of Kernel Type Estimator of the Intensity Function for Periodic Poisson Process

Mean square convergence analysis for kernel least mean square algorithm

In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on step size that guarantees the mean square con...

Almost Sure Convergence of Kernel Bivariate Distribution Function Estimator under Negative Association

Let {Xn ,n=>1} be a strictly stationary sequence of negatively associated random variables, with common distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1, Xk+1) for fixed $K /in N$ based on kernel type estimators. We introduce asymptotic normality and properties and moments. From these we derive the optimal bandwidth...

A minimum mean square error channel estimator for OFDM

A minimum mean square error channel estimator for OFDM

the investigation of the relationship between type a and type b personalities and quality of translation

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