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% This program solves the economic dispatch with Bmn coefficients by % Genetic Algorithm % the data matrix should have 5 columns of fuel cost coefficients and plant limits. % 1.a ($/MW^2) 2. b $/M

clear; clc; % This program solves the economic dispatch with Bmn coefficients by % Genetic Algorithm. Algorithm toolbox of MATLAB 7.04.For any % discussion&Clarification the author can be cont

This is the implementation of the 1D DMUSIC algorithm from: [1] Y. Li, J. Razavilar, and K. Liu, "A Super-Resolution Parameter Estimation Algorithm for Multi- Dimensional NMR Spectroscopy," Univ

function dmusic(y,K,J) % function dmusic(y,K,J) % % 1D Damped MUSIC (DMUSIC) Algorithm % % y = signal % K = # of damped sinusoids % J = Subsample of prediction matrix % % Ex: % dmusic(y

function dmusicEx1() % function dmusicEx1() % % 1D Damped MUSIC (DMUSIC) Algorithm Example % % This is the implementation of example 1 from reference [1] % % Ex: % dmusicEx1(); % % Re

%% % DBPA - Distance Based Power Alocation Algorithm%%%%%%%%%%%%%%%%%%%%%% % % in this progarm mobiles are uniformally distributed within%%%%%%%%%%% % the cell to allow varing power for the D

%% DBPA - Distance Based Power Alocation Algorithm%%%%%%%%%%%%%%%%%%%%%% % in this progarm mobiles are uniformally distributed within%%%%%%%%%%% % the cell to allow varing power for the Downlin

% Frost LMS Algorithm - From P.810 of Optimum Array Processing function w_lms = calculate_lms_mvdr(s, r, mu) numIterations = size(r, 2); N = size(r,1); w_lms = zeros(N, numIterations); w_

% RLS Algorithm - From P.756 of Optimum Array Processing function [w_rls, R_inv] = calculate_rls_mvdr(s, r, eta) numIterations = size(r, 2); N = size(r,1); w_rls = zeros(N, numIterations);

This Matlab toolbox uses genetic algorithms to solve optimization problems. It is based on the "Genetic Algorithm Optimization Toolbox" by C.R. Houck, J.A. Joines and M.G. Kay. The expansion of the or