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找到约 12,326 项符合 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