代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
www.eeworm.com/read/476296/6765168

m iir1.m

%IIR1 Problem 1.2.1 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % thetaao, thetabo - coeffi
www.eeworm.com/read/476296/6765171

m cfdlms.m

%CFDLMS Constrained Frequency-Domain LMS algorithm % % 'ifile.mat' - input file containing: % Nr - members of ensemble % N - iterations % Sx - standard deviation of input % B -
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m iir3.m

%IIR3 Problem 1.2.3 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % thetaao, thetabo - coeffi
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m rls1.m

%RLS1 Problem 1.1.1.1.1.2 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % Wo - coefficient ve
www.eeworm.com/read/476296/6765184

m rls4.m

%RLS4 Problem 1.1.2.2 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % lambdaW, sigmaW - param
www.eeworm.com/read/476296/6765186

m iir4.m

%IIR4 Problem 1.2.4 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % thetaao, thetabo - coeffi
www.eeworm.com/read/476296/6765189

m iir2.m

%IIR2 Problem 1.2.2 % % 'ifile.mat' - input file containing: % I - members of ensemble % K - iterations % sigmax - standard deviation of input % thetaao, thetabo - coeffi
www.eeworm.com/read/265447/11264136

ex-ham7a

#!/bin/sh # Example of decoding a (7,4) Hamming code using exhaustive enumeration and # probability propagation, with an Additive White Gaussian Noise channel with # noise standard deviation of 0.5,
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txt 311.txt

发信人: GzLi (笑梨), 信区: DataMining 标 题: Re: 概率论中的stand deviation怎么翻? 发信站: 南京大学小百合站 (Sat Jul 13 12:47:56 2002), 站内信件 standard deviation 是不是标准偏差 【 在 mycat (cat) 的大作中提到: 】 : 中文怎么翻! --
www.eeworm.com/read/192078/8408254

m dlcllms.m

%DLCLLMS Delayless Closed-Loop Subband LMS algorithm % % 'ifile.mat' - input file containing: % Nr - members of ensemble % N - iterations % Sx - standard deviation of input % B