代码搜索：Generates
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m isuntrained.m
%ISUNTRAINED Test on untrained mapping
%
% I = ISUNTRAINED(W)
% ISUNTRAINED(W)
%
% True if the mapping type of W is 'untrained' (see HELP MAPPINGS).
% If called without an output argument ISUNTR
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m gendatsin.m
%GENREGSIN Generate sinusoidal regression data
%
% X = GENDATSIN(N,SIGMA)
%
% INPUT
% N Number of objects to generate
% SIGMA Standard deviation of the noise
%
% OUTPUT
% X Reg
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h crc.h
//*********************************************************************************
//* ST 7538 DEMOBOARD SOFTWARE CRC.h *
//*
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m contents.m
% Data sets used by the STPRtool.
%
% andersons_task - (dir) Input for demo on Generalized Anderson's task.
% binary_separable - (dir) Input for demo on Linear classification.
% gmm_sample - (
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m genrand.m
function Datatx = genrand(NumSymb,wordsize,NumCarr,Type)
%GENRAND Generates random data to transmit
% Datatx = genrand(NumSymb,wordsize,NumCarr)
% Generates a data set with NumSymb number of rows
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m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%
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m binary.m
function [out, seed] = binary(nsize,seed)
% BINARY ...... Generates a sequence of random binary digits.
%
% BINARY(N) Generates N random binary digits, such that the output
% sequence is eithe
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m laplace.m
function [out, seed] = laplace(nsize,sigma2,seed)
% LAPLACE .... Generates random variates from a Laplace(MU) distribution.
%
% LAPLACE(N,MU) Generates N random variates from the Laplace(MU)
%
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m exponent.m
function [out, seed] = exponent(nsize,mu,seed)
% EXPONENT .... Generates random variates from the Exponential(MU) distribution.
%
% EXPONENT(N,M) Generates N random variates from the Exponential(
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m randmcg.m
function r = randmcg(p,q)
%RANDMCG Multiplicative congruential uniform random number generator.
% Based on the parameters used by MATLAB version 4.
% The statement
% r = randmcg
% genera