The Chi^2 distribution is well used to analysis the performance of the wireless communication systems with Chi^2 distributed SNR. Similarly, we need the Chi distribution to know its gain, while Chi^2 denotes its power. In this article, I support Johan�s method with the reference of the related internet site, and ask one dimplr question to know the pdf of the proposed random variable.
Johan Kullstam wrote: > The chi is just the square-root of the chi^2. You're very right! I found the site, where same explanation to your one is presented. Site address is "http://mathworld.wolfram.com/ChiDistribution.html."; In addtion, Chi pdf is also called as 'Generalized Rayleigh pdf', which is described in Proakis book. However, please let me know this: what is this pdf, which I said in upper article? X(1,n) = sqrt(X(2,n))*exp(j*2*Pi*theta), where theta is uniform random variable between 0 and 1. In summary, Chi random variable was found to be denoted as sqrt of Chi^2 one, and one simple question to ask the pdf of the proposed variable is dictated. Best, Sungjin Kim i-Networking Lab, Samsung AIT. ([EMAIL PROTECTED]) -- Posted via http://web2news.com the faster web2news on the web . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
