代码搜索：normalisation

找到约 94 项符合「normalisation」的源代码

代码结果 94
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/448815/7525306

m normaliseiris.m

% normaliseiris - performs normalisation of the iris region by % unwraping the circular region into a rectangular block of % constant dimensions. % % Usage: % [polar_array, polar_noise] = normal
·
www.eeworm.com/read/441245/7672610

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/436037/7778578

m normaliseiris.m

% normaliseiris - performs normalisation of the iris region by % unwraping the circular region into a rectangular block of % constant dimensions. % % Usage: % [polar_array, polar_noise] = normal
·
www.eeworm.com/read/137160/13341792

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/314653/13562202

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/493294/6399875

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/400577/11572574

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/255755/12057204

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/150905/12248259

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·
www.eeworm.com/read/149739/12352644

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
·