代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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www.eeworm.com/read/441332/7671737
m donuts.m
function S = donuts;
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% February, 2000
% Function generates the dataset for the 2-DONUTS problem
%
% DONUT 1
step = 0.2;
t = 0:step:4*pi;
l = le
www.eeworm.com/read/441332/7671767
m saml.m
function [ab,vE,E] = saml(N);
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% October, 1999.
% Function generates n-bit binary strings antibody most uniformly
% distributed over the search space
www.eeworm.com/read/440750/7682131
m histndim.m
function [v,t]=histndim(x,b,mode)
%HISTNDIM - generates and/or plots an n-dimensional histogram
%
% Inputs: X(m,d) is the input data: each row is one d-dimensiona data point
% B(3,d)
www.eeworm.com/read/439811/7701546
m bdt_f527.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio
initial_snr=0;
final_snr=15;
snr_step=1;
tolerance=1e-7; % tolerance used for the integration
min
www.eeworm.com/read/439462/7708311
m armase.m
function phi = armase(b,a,sig2,L);
% generates L samples of an ARMA spectral density function phi
% from the ARMA coefficients.
%
% phi = armase(b,a,sig2,L);
% b -> the MA coefficient vec
www.eeworm.com/read/436995/7757306
m gmp1.m
% gmp1.m
% Scope: This MATLAB macro generates first order Gauss-Markov sequence.
% Usage: x = gmp1(nstep,beta,sigx,deltat,iseed)
% x = gmp1(nstep,beta
www.eeworm.com/read/436995/7757393
m gmp2.m
% gmp2.m
% Scope: This MATLAB macro generates second order Gauss-Markov sequence.
% Usage: [xp,xv] = gmp2(nstep,w0,beta,csq,deltat,iseed)
% [xp,xv] =
www.eeworm.com/read/436421/7770127
m mmse_mse_calc.m
%Function Declaration:
function ms_error=MMSE_MSE_calc(X,H,Y,Rgg,variance);
%This function generates mean squared error for the the MMSE estimator..
%EVALUATION OF Hmmse
%Hmmse=F*Rgg*inv(Rgy)*Y;
www.eeworm.com/read/399326/7869533
m lattice.m
function [points,edges] = lattice(X,Y,connect)
%Function [points,edges]=lattice(X,Y,connect) generates a 2D,
%"4-connected" Cartesian lattice with dimensions X and Y.
%
%Inputs: X/Y - The dimensi
www.eeworm.com/read/433822/7907560
m sacubic.m
function [ab,vE,E] = sacubic(N);
%
% Ph.D. Thesis
% Leandro Nunes de Castro
% October, 1999.
% Function generates n-bit binary strings antibody most uniformly
% distributed over the search spac