Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple crossvalidation methodology is described, and the relative abilities of three, dimensioned error statistics—the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)—to describe average interpolator...

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...

This paper theoretically analyzes the Mean Square Error (MSE) on the steady-state frequency estimation realized by the all-pass-based adaptive notch filtering algorithms with the normalized lattice structure. The adaptive algorithms to be considered are the Simplified Lattice Algorithm (SLA) proposed by Regalia and the Affine Combination Lattice Algorithm (ACLA) proposed by the authors. For the...

In this paper constant modulus algorithm (CMA) and least mean square (LMS), kind of blind and nonblind algorithms used for adaptive beamforming are presented. These algorithms are embedded in smart antenna which calculates optimum weight vector that minimizes the total received power except the power coming from desired direction. The efficiency of CMA and LMS algorithms is compared on the basi...

We consider a single cell single input multiple output (SIMO) system employing orthogonal frequency division multiplexing (OFDM). In such systems, setting the pilot-to-data power ratio (PDPR) has a large impact on the spectral and energy efficiency. In this paper we provide a closed form solution for the mean square error (MSE) of the received data as a function of the PDPR assuming Gaussian ch...

In view of the massive parallel architecture and generalization ability of neural networks to remember the inputs for untrained data, the computational simplicity of wavelets, ability of Differential Pulse Code Modulation (DPCM) to reduce the redundancy in the information, an effective hybrid image compression system combining the advantages of wavelets, artificial neural networks and DPCM is i...

For demand of high data rates, enhanced system capacity and coverage, ITU made proposal for the standardization of next generation wireless communication systems, known as IMTAdvanced. To achieve these targets, a priori knowledge of the channel is required at the transmitter side. In this paper, three adaptive channel estimation techniques: Least Mean Square (LMS), Recursive Least Square (RLS) ...

The medical field along with computer field grows in a rapid manner. In telemedicine and telediagnosis authentication of medical images are very important to the patient ,doctor and Insurance company. The youngsters are also keen in knowing about the treatment methods and procedures. But no one likes to tell about the disease in open hall. So there is always an urge for watermarking of medical ...

NON-UNIFORM SUBBAND ADAPTIVE FILTERS Jacob D. Griesbach, Michael Lightner, and Delores M. Etter Department of Electrical and Computer Engineering University of Colorado Boulder, CO 80309 [email protected], [email protected], [email protected] ABSTRACT Minimum mean square error estimators have been developed for non-uniform subband adaptive filters (SAFs) in system modeling configuratio...