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M 的代码
steplfm_cal.m
% steplf<mark>m</mark>_cal.<mark>m</mark> - stepped train of LF<mark>M</mark> pulses calculation
% written by Eli <mark>m</mark>ozeson and Nadav Levanon
% used with steplf<mark>m</mark>_gui.<mark>m</mark>
<mark>m</mark><mark>m</mark>=50;
<mark>m</mark><mark>m</mark>2=<mark>m</mark><mark>m</mark>/2-1;
uf<mark>m</mark>=ones(1,<mark>m</mark><mark>m</mark>);
ddf=tpb/<mark>m</mark><mark>m</mark>^2;
f ...
cal_and_plot_acf_and_spec7.m
% cal_and_plot_acf_and_spec7.m - Written by Eli Mozeson and Nadav Levanon
% plot corrrelation function and spectrum of a signal defined by
% u(t), t, and F (maximal Dopper normalized by signal length)
cal_and_plot_amb_fn7.m
% cal_and_plot_amb_fn7.m - Written by Eli Mozeson and Nadav Levanon
% calculates and plots the ambiguity function of a signal
% assumes that the work space includes a row vector u (signal complex env
steplfm.m
% steplfm - stepped train of LFM pulses
% creates stepped-LFM signal for use with ambiguity function plotting
% programs
tpdf=input(' T*Df (typ. = 0 or 5) = ? ');
tpb=input(' T*B (typ. = 0 or 12.5)
costas.m
function positions=costas(N)
% calculate the positions/frequencies of a costas array with size NxN
% for a given N there are N! posible frequency-time arrays (sequences)
% there can be more then one c
cal_and_plot_pamb7.m
% cal_and_plot_pamb7.m - written by Eli Mozeson and Nadav Levanon
% calculates and plots the periodic ambiguity function of a signal
% assumes that the work space includes a row vector u (signal comp
rastrigin.m
function ObjVal = rastrigin(Chrom,switch1);
% Dimension of objective function
Dim=size(Chrom,2);
% Compute population parameters
[Nind,Nvar] = size(Chrom);
% function 6, D
rosenbrock.m
function ObjVal = rosenbrock(Chrom,switc);
% Dimension of objective function
Dim=size(Chrom,2);
% Compute population parameters
[Nind,Nvar] = size(Chrom);
% function 11,
runabc.m
%%%%%ARTIFICIAL BEE COLONY ALGORITHM%%%%
%Artificial Bee Colony Algorithm was developed by Dervis Karaboga in 2005
%by simulating the foraging behaviour of bees.
%Copyright ? 2008 Erciyes Univ
greedyselection.m
function [Colony Obj Fit oBas]=GreedySelection(Colony1,Colony2,ObjEmp,ObjEmp2,FitEmp,FitEmp2,fbas,ABCOpts,i)
oBas=fbas;
Obj=ObjEmp;
Fit=FitEmp;
Colony=Colony1;
if (nargin==8) %Inside the body