代码搜索:usage

找到约 10,000 项符合「usage」的源代码

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m xelimrc.m

% xelimrc.m % Scope: This MATLAB program tests the macros elimrow and elimcol. % Usage: xelimrc % Inputs: - number of rows of the input matrix (greater tha
www.eeworm.com/read/436995/7757447

m xebudget.m

% xebudget.m % Scope: This MATLAB program determines the error budget for a specified % input data set. % Usage: xebudget % Inputs: - input data fr
www.eeworm.com/read/436037/7778581

m linecoords.m

% linecoords - returns the x y coordinates of positions along a line % % Usage: % [x,y] = linecoords(lines, imsize) % % Arguments: % lines - an array containing parameters of the line in %
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m nonmaxsup.m

% NONMAXSUP % % Usage: % im = nonmaxsup(inimage, orient, radius); % % Function for performing non-maxima suppression on an image using an % orientation image. It is assumed that the orientat
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m createiristemplate.m

% createiristemplate - generates a biometric template from an iris in % an eye image. % % Usage: % [template, mask] = createiristemplate(eyeimage_filename) % % Arguments: % eyeimage_filename
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txt readme.txt

NTSE ~~~~ NT-Service helper library ~~~~~~~~~~~~~~~~~~~~~~~~~ 31 October 2003 - v1.04 The function ntseHideConsole() introduced. Usage (in a console daemon ap
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m kscritical.m

function crit=kscritical(n,pvalue); % PURPOSE: % This is a helper function for kolmorgorov that returns the appropriate critical value. % % USAGE: % crit=kscritical(n,pvalue) % % INPU
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m garcheviewslikelihood.m

function [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q, m, stdEstimate) % PURPOSE: % Likelihood and analytic derivatives for garchpq % % USAGE: %
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m garchlikelihood.m

function [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q, m, stdEstimate) % PURPOSE: % Likelihood and analytic derivatives for garchpq % % USAGE: %
www.eeworm.com/read/398337/7993422

m tensorwavkernel.m

function [kernel,KernelInfo]=tensorwavkernel(x,xsup,kerneloption) % USAGE % % [kernel,KernelInfo]=tensorwavkernel(x,xsup,kerneloption) % % Process a tensor product wavelet kernel. % the