代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
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m autosc.m

% function autosc performs autoscaling % the second input file is scaled on the average and standard deviation of the first one function[xnorm]=autosc(xtr,xtest) if nargin==1 x=xtr; else x=[
www.eeworm.com/read/176908/9479823

m reinforcementlearning.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Q learning of single agent move in N rooms % Matlab Code companion of % Q Learning by Example % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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m moptimum.m

function moptimum %Program moptimum is for designing I-stage optimum decimator %or interpolator (I=1,2,3 or 4). The program computes the decimation %factors, filter characteristics, and decim
www.eeworm.com/read/371255/9559599

m ridgesegment.m

% RIDGESEGMENT - Normalises fingerprint image and segments ridge region % % Function identifies ridge regions of a fingerprint image and returns a % mask identifying this region. It also normalises t
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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; % GAGAUSS generates two independent Gaussian random variables with m
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m std.m

function dev = std(chr) % STD - Standard deviation % For vectors, STD(chr) returns the standard % deviation of the population. For matrices, STD(chr) is a column vector % containing the
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m moptimum.m

function moptimum %Program moptimum is for designing I-stage optimum decimator %or interpolator (I=1,2,3 or 4). The program computes the decimation %factors, filter characteristics, and decim
www.eeworm.com/read/364017/9925700

m main_ikeda.m

%function [x,y]=ikeda(n,mu,x0,y0) %Syntax: [x,y]=ikeda(n,mu,x0,y0) %_____________________________________ % % Simulation of the Ikeda map. % x'=1+mu*(xcos(t)-ysin(t) % y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/168118/9937871

m autorejectcb.m

function autorejectcb(action) % Determination of the parameter for the cross over point rejection % The rejection is based on a factor of the standard deviation or on a % constant limit difference fro
www.eeworm.com/read/168118/9937993

m dispdepth.m

function dispdepth % Display of the calculated depth model and the corresponding % standard deviation and fold for each receiver f=gcf; depth=refdata('get','depth'); recelev=refdata('get','recelev'