. . oimullimedia data, Ihr proposed scheme can improve the Peak-SignalIo-Noise-Ratio (PSNR) oireconstrurled imaxes by sip lo RIB. patterns nre introduced and the mean square channel estiination error (MSE) of diffcerent OFDM subchannels is derived. Furthermore, we propose the Priority Transmission (PT) scheme, which provides unequal emor protectioii for multimcdia transmission by matching the i...

The electrocardiogram (ECG) is an important diagnosis event for emergency cardiac patient. But the problem is, the ECG signal is easily corrupted by the different noise signals such as, power line interference (PLI), the external electromagnetic fields, random body movements, etc. It is observed that the patient does not get proper treatment due to the deficiency of proper cardiac detection. Th...

The inherent fault tolerance of artificial neural networks (ANNs) is usually assumed, but several authors have claimed that ANNs are not always fault tolerant and have demonstrated the need to evaluate their robustness by quantitative measures. For this purpose, various alternatives have been proposed. In this paper we show the direct relation between the mean square error (MSE) and the statist...

Adaptive least mean square (LMS) filters with or without training sequences, which are known as training-based and blind detectors respectively, have been formulated to counter interference in CDMA systems. The convergence characteristics of these two LMS detectors are analyzed and compared in this paper. We show that the blind detector is superior to the training-based detector with respect to...

OBJECTIVE To provide a practical guidance for the analysis of N-of-1 trials by comparing four commonly used models. METHODS The four models, paired t-test, mixed effects model of difference, mixed effects model and meta-analysis of summary data were compared using a simulation study. The assumed 3-cycles and 4-cycles N-of-1 trials were set with sample sizes of 1, 3, 5, 10, 20 and 30 respectiv...

Estimators for speech enhancement by using wavelet transform is the new technique which is proposed in this paper. Here, we proposed a new set of estimators called magnitude square spectrum estimators beyond the conventional magnitude, power estimators using wavelet transform. Maximum a posteriori(MAP), Minimum Mean Square Error(MMSE) Estimators are derived using hard masking then Soft Masking ...

This paper provides a systematic procedure for computing the regional average of climate data in a subregion of the earth surface using the covariance function written in terms of empirical orthogonal functions (EOFs). The method is optimal in the sense of minimum mean square error (mse) and gives an mse estimate of the averaging results. The random measurement error is also included in the tot...

XGBoost algorithm and Lasso regression compare r-square, Mean Square Error (MSE), Root MSE, RMSLE values. The should be efficient enough to produce the exact fare amount of trip before starts. sample size for implementing this work was N=10 each groups considered. It iterated 20 times accurate prediction cab price with G power in 80% threshold 0.05%, CI 95% mean standard deviation. calculation ...

Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength. In the generic SSR model, an optimal weighted decoding scheme shows its superiority in minimizing the mean square error (MSE). In this study, we extend the proposed optimal weighted decoding scheme to more general inp...

An adaptive transversal equalizer based on the least-mean-square (LMS) algorithm, operating in an environment with a temporally correlated interference, can exhibit better steady-state mean-square-error (MSE) performance than the corresponding Wiener filter. This phenomenon is a result of the nonlinear nature of the LMS algorithm and is obscured by traditional analysis approaches that utilize t...