Waterfilling algorithm 1.0

% the water-filling process% x: a vector with each component representing noise power% P: total power%% The returned vector p maximizes the total sum rate given by% sum(log(1 + p./x)), subject to the power constraint sum(p)== P, p>=0.%% The return a vector p also minimizes% norm(p+x)% subject to the constraints% sum(p)==P; p>=0%%% The second output "level" is the water level%% Sample usage:% Three parallel Gaussian channels with noise powers 1, 2 and 3.% The total power is 2.%% >> waterfill([1 2 3],2)% ans =% 1.5000 0.5000 0%%% Author: Kenneth Shum, 2010%% Reference:% T. M. Cover and J. A. Thomas, "Elements of Information Theory", John Wiley & Sons, 2006

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Channels,  Gaussian,  Parallel,  Powers,  Sample,  Usage,  Water,  Waterfill
Users rating:	0/10