代码搜索：TOOLBox
找到约 9,571 项符合「TOOLBox」的源代码
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www.eeworm.com/read/435830/7783344
txt installation instructions.txt
Installation instructions (UNIX version)
----------------------------------------
1. Uncompress and extract the archive in the matlab program directory,
using the following commands:
g
www.eeworm.com/read/250888/7806382
txt readme.txt
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PSOt, particle swarm optimization toolbox for matlab.
May be distribute
www.eeworm.com/read/399326/7869489
readme
8/21/03 - Leo Grady
INSTALLATION:
To use any functions in the toolbox, just add the main directory to
your MATLAB path.
To run any of the demos (included in the demos package), add the
./DEMOS/ dire
www.eeworm.com/read/198546/7928860
m exppowpdf.m
function prob = exppowpdf(x,nu)
% PURPOSE:
% Evaluates the Probabiliy a vector of observations x(Nx1)
% has if drawn from a Exponential Power Dist'n with parameter nu
%
% USAGE:
% p
www.eeworm.com/read/198546/7928874
m gedinv.m
function num = gedinv(x,nu)
% PURPOSE:
% Evaluates the Probabiliy a vector of observations x(Nx1)
% has if drawn from a Generalzed Error Dist'n with parameter nu
%
%
% USAGE:
% num = gedinv(
www.eeworm.com/read/198546/7928891
m exppowrnd.m
function random = exppowrnd(x,nu)
% PURPOSE:
% Random numbers from an exponential power distribution
% USAGE:
% random = exppowrnd(t,nu)
%
% INPUTS:
% t Number of random numb
www.eeworm.com/read/198177/7948224
m unc_nn_dejong.m
function [fval]=unc_nn_dejong(x)
%reference:
%note that you can get the formulation of unc_n2_dejong from some
%aritcles,such as
%(1)Hartmut Pohlheim 'Genetic Algorithm Toolbox Test Functions'
%
www.eeworm.com/read/198177/7948542
m unc_nn_dejong1.m
function [fval]=unc_nn_dejong1(x)
%reference:
%note that you can get the formulation of unc_n2_dejong1 from some
%aritcles,such as
%(1)Hartmut Pohlheim 'Genetic Algorithm Toolbox Test Functions'
www.eeworm.com/read/196856/8054057
m contents.m
% BSP Toolbox
% Version 1.00 JM Jun-2002
%
% Common - Common tools for biomedical signal processing
% Correlation - Tools for estimating correlation
% Data
www.eeworm.com/read/196832/8055346
readme
CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version