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 disper.m

% Program 2-2 % disper.m % % calculate dispersion and standard deviation % % Programmed by H.Harada % function [sigma2, sigma]=disper(indata) %****************** variables ***************
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www.eeworm.com/read/295808/8138778

m disper.m

% Program 2-2 % disper.m % % calculate dispersion and standard deviation % % Programmed by H.Harada % function [sigma2, sigma]=disper(indata) %****************** variables ***************
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www.eeworm.com/read/333375/12685346

m valsurethresh2.m

function thresh = ValSUREThresh2(y) % %%%%%%It's My Own Function!!! % % ValSUREThresh -- Adaptive Threshold Selection Using Principle of SURE % Usage % thresh = ValSUREThresh(y) % Inputs
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www.eeworm.com/read/245849/12777798

m isnearinteger.m

function bool=isnearinteger(x,tol) % Function checks if x is approximately integer (with tolerance "tol") % % bool=isnearinteger(x,tol) % INPUT % x variable to check % tol maximum
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www.eeworm.com/read/142031/12969809

m valsurethresh2.m

function thresh = ValSUREThresh2(y) % %%%%%%It's My Own Function!!! % % ValSUREThresh -- Adaptive Threshold Selection Using Principle of SURE % Usage % thresh = ValSUREThresh(y) % Inputs
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www.eeworm.com/read/305754/13761273

m valsurethresh2.m

function thresh = ValSUREThresh2(y) % %%%%%%It's My Own Function!!! % % ValSUREThresh -- Adaptive Threshold Selection Using Principle of SURE % Usage % thresh = ValSUREThresh(y) % Inputs
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www.eeworm.com/read/130105/5964615

txt hmm.txt

5 3 6 6 6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 5 -0.100083 -2.351375 -10000000000.0
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www.eeworm.com/read/130105/5964617

txt hmm.txt

5 3 6 6 6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 5 -0.083382 -2.525729 -10000000000.0
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www.eeworm.com/read/130105/5964621

txt hmm.txt

5 3 6 6 6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 5 -0.115513 -2.215574 -10000000000.0
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www.eeworm.com/read/130105/5964625

txt hmm.txt

5 3 6 6 6 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 5 -0.095310 -2.397895 -10000000000.0
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