A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers. In practice, antenna selection information is transmitted through a binary symmetric control channel with a crossover probability. Linear minimum mean-square ...

Abbreviations:ANOCOVA, analysis of covariance; CCR, ECa, apparent soil electrical conductivity (dS m−1); ECe, e uration extract (dS m−1); EMh, ECa measured with electro izontal coil configuration (dSm−1); EMv, ECameasuredwi the vertical coil configuration (dS m−1); EMI, electrom specific regression; MSE, mean square error; MSPE, mean ⁎ Corresponding author. Tel.: +1 951 369 4819; fax: + E-mail ...

On the basis of the AR(1) stochastic process model for consumer demand which was introduced by Professor H.L.Lee, qualified and simulation model of bullwhip effect are established when order-up-to inventory policy is employed, which investigate demand variability caused by forecasting technology, such as moving average (MA) method, exponentially weighted moving average (EWMA) method or mean squ...

In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks. Considering the realistic setting of noise present at the network nodes, we derive deterministic equivalents for the aforementioned MSE in the limit where the number of input data T and network size n both grow large. Specializing then the n...

A method for the design of arbitrarily exact Discrete Cosine Transform (DCT) approximations that permit perfect reconstruction using fixed point arithmetic is presented. Simple quantization of floating point precision coefficients typically leads to DCT approximations which fail to meet the coding gain, Mean Square Error (MSE), and coefficient complexity (number of coefficient adders and subtra...

At low bitrate and with acceptable quality in Fractal Image Compression (FIC) of the coded image, the encoding time is very large for most existing algorithms. In this paper, a fast fractal encoding system is proposed using particle swarm optimization (PSO) to reduce the encoding time. Here, an optimization technique is used for the MSE based on the stopping criterion between range block and do...

In this paper, we have implemented a dithered quantization model to be used with perceptual distortion metric. Mean-square-error (MSE) based cost functions are mostly used for image coding. However, MSE does not necessarily preserve the perceptual quality of the original image. We are using Minkowsky metric as the criterion for allocating bits into various subbands to achieve desired degree of ...

This paper presents an overview of the efficient Monte Carlo counterparty credit risk (CCR) estimation framework recently developed by Ghamami and Zhang (2014). We focus on the estimation of credit value adjustment (CVA), one of the most widely used and regulatory-driven counterparty credit risk measures. Our proposed efficient CVA estimators are developed based on novel applications of well-kn...

The idea of combining multiple image modalities to provide a single, enhanced image is well established different fusion methods have been proposed in literature. This paper is based on image fusion using laplacian pyramid and wavelet transform method. Images of same size are used for experimentation. Images used for the experimentation are standard images and averaging filter is used of equal ...

Three adaptive multichannel L-lters based on marginal data ordering are proposed. They rely on well-known algorithms for the iterative minimization of the mean square error (MSE), namely, the least mean squares (LMS), the normalized LMS (NLMS), and the LMS-Newton (LMSN) algorithms. We treat both the unconstrained minimization of the MSE and the minimization of the MSE when structural constraint...