代码搜索：Algorithm
找到约 10,000 项符合「Algorithm」的源代码
代码结果 10,000
www.eeworm.com/read/390406/8466861
m wholecontrol.m
Fs = 8000;
N = 800;
delayS = 7;
[B,A] = cheby2(4,20,[0.04 0.5]);
Hd = dfilt.df2t(B,A);
H = filter(Hd,[zeros(1,delayS) log(0.99*rand(1,N-delayS)+0.01).*sign(randn(1,N-delayS)).*exp(-0.01*(1:N-dela
www.eeworm.com/read/290613/8471797
m d_nlpow.m
%D_NLPOW HOSA Demo: Identification of Second-Order Volterra Systems
% Powers' algorithm, for arbitrary inputs
%
echo off
% A. Swami Oct 18, 1997.
% Copyright (c) 19
www.eeworm.com/read/290613/8471979
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/189063/8491749
txt readme.txt
Tree Structured Genetic Algorithm
An algorithm for Genetic Programming
Ben.McKay & Mark Willis
(c)
www.eeworm.com/read/189063/8492094
htm index~1.htm
Genetic Algorithm Optimization Toolbox
Genetic Algorithm Optimization Toolbox (GAOT)
GAOT implements simulated evolution i
www.eeworm.com/read/189063/8492111
m contents.m
% Genetic Optimization Toolbox
%
% Main interface
% ga.m The Genetic Algorithm
% initialize.m Initialization function Used by ga.m
%
% Operators used during simu
www.eeworm.com/read/189063/8492120
htm gaotin~1.htm
Genetic Algorithm Optimization Toolbox (GAOT)
The following files are in the distribution:
Main interface
ga.m
www.eeworm.com/read/289837/8523513
m d_nlpow.m
%D_NLPOW HOSA Demo: Identification of Second-Order Volterra Systems
% Powers' algorithm, for arbitrary inputs
%
echo off
% A. Swami Oct 18, 1997.
% Copyright (c) 19
www.eeworm.com/read/289837/8523702
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/289743/8529903
m combn.m
function [M,IND] = combn(V,N)
% COMBN - all combinations of elements
% M = COMBN(V,N) returns all combinations of N elements of the elements in
% vector V. M has the size (length(V).^N)-by-N.
%
%