We derive general, unified expressions for the probability density function, cumulative distribution function, and mean SNR of generalized selection combining operating over multibranch, arbitrary, correlated, non-identical fading channels. The expressions are written in terms of the joint probability density function of the branch signals and allow for the equalgain and maximal-ratio methods i...

quantitative valuations of observed heterosis for 11 traits of 15 f1 hybrids generated by half diallel crosses of six diverse rice cultivars (domsefid, hashemi and binam, three iranian local cultivars; dorfak, kadous and ir30, three improved cultivars), were made in this study. fifteen f1 hybrids and their parents were evaluated in a randomized complete block design with three replications at t...

in order to produce new hybrids and evaluate the general and specific combining ability of sunflower inbred lines and restorers, four inbred lines and six restorers were selected in 2004. twenty-four f1 hybrids were derived in 2004 and evaluated on a rcbd design with three replications in 2005. the results of variance analysis showed that treatments were significantly different for all traits e...

This paper addresses the problem of energy detection of an unknown deterministic signal over a general fading channel model. More particularly, a closed-form mathematical expression is derived for the energy detector's probability of detection over a-# generalized fading channel with selection combining diversity reception. The derived expression can be used to study the performance of energy d...

In medical research, there is great interest in developing methods for combining biomarkers. We argue that selection of markers should also be considered in the process. Traditional model/variable selection procedures ignore the underlying uncertainty after model selection. In this work, we propose a novel model-combining algorithm for classification in biomarker studies. It works by considerin...