double dagger]) Ratio of

mean square components expressing the relative importance of ([GCA.

Keywords: Least

Mean Square (LMS), Variants of LMS,

Mean Square Error (MSE), Adaptive Filter, Structure Identification

The description of Root

Mean Square Error (RMSE) isrecommended quantification method for the prediction of filters [5].

Bias and

Mean square error of ratio type variance estimator was (Eq.

Ventricular late potentials were detected through analysis of filtered QRS complex which characteristically included duration of the filtered QRS complex (fQRS) >114 ms, low amplitude signals (LAS) under 40 uv in the terminal QRS complex >38 ms and root

mean square (RMS) voltage in the terminal 40 ms 114 ms in 20 out of total 27 patients in which signal averaged ECG was found positive for detection of ventricular late potentials (p-value 114 ms in higher number of patients with left ventricular hypertrophy in which signal averaged ECG was found positive as compared to those without it(p-value = 0.

The root

mean square error (RMSE) and the signal error ratio (SER) are, respectively, defined by

25 pico seconds (ps) root

mean square (rms) and integrated electrically erasable programmable read-only memory (EEPROM) for self-configuration at start-up.

The predictive power of the procedures was also evaluated by residual analysis (DRAPER & SMITH, 1966; MONTGOMERY, 2005; MITCHELL & SHEEHY, 1997) and through decomposition of

mean square deviation prediction, as suggested by KOBAYASHI & SALAM (2000) as follows:

2]), which is considered universal measure of one random variable dependence on set of others, and the

mean square error of approximation that characterizes the approximation of model to statistics in the uniform metric and shows proximity of predicted and experimental data.

9 Mean forecast error Mean absolute error Mean squared error Root

mean square forecast error Score (Percentage of times Forecast 1 performs better) Diebold Mariano statistic Forecast 1 against forecast 2 relative to first outturn Year (a) Naive First NIESR forecast outturn forecast year ahead 1990 4.

Greater SCA

mean square revealed that time to 50% flowering was controlled non-additively.

There are many adaptive algorithms that could be used in echo cancellation for adaptive filtering including wiener filter, steepest descent method, least

mean square, normalized least

mean square and recursive least squares [7] and [8], However, a generic block diagram of any adaptive filtering is given as figure 3.