代码搜索：Statistical
找到约 1,108 项符合「Statistical」的源代码
代码结果 1,108
www.eeworm.com/read/255742/12061360
cpp t-eorng.cpp
//-----------------------------------------------------------------------------
// t-rng.cpp
//-----------------------------------------------------------------------------
// This file really needs
www.eeworm.com/read/150760/12266093
m demo_ocr.m
% DEMO_OCR Demo on Optical Character Recognition using SVM.
%
% Synopsis:
% demo_ocr;
%
% Description:
% For more information type 'help ocr'.
%
% About: Statistical Pattern Recognition Toolbox
%
www.eeworm.com/read/213492/15133780
m demo_ocr.m
% DEMO_OCR Demo on Optical Character Recognition using SVM.
%
% Synopsis:
% demo_ocr;
%
% Description:
% For more information type 'help ocr'.
%
% About: Statistical Pattern Recognition Toolbox
%
www.eeworm.com/read/411674/11233898
m demo_ocr.m
% DEMO_OCR Demo on Optical Character Recognition using SVM.
%
% Synopsis:
% demo_ocr;
%
% Description:
% For more information type 'help ocr'.
%
% About: Statistical Pattern Recognition Toolbox
%
www.eeworm.com/read/428608/8856272
m latcfilt.m
function [y] = latcfilt(K,x)
% LATTICE form realization of FIR filters
% ---------------------------------------
% y = latcfilt(K,x)
% y = output sequence
% K = LATTICE filter (reflection) co
www.eeworm.com/read/282317/9102247
m latcfilt.m
function [y] = latcfilt(K,x)
% LATTICE form realization of FIR filters
% ---------------------------------------
% y = latcfilt(K,x)
% y = output sequence
% K = LATTICE filter (reflection) co
www.eeworm.com/read/357136/10215724
m latcfilt.m
function [y] = latcfilt(K,x)
% LATTICE form realization of FIR filters
% ---------------------------------------
% y = latcfilt(K,x)
% y = output sequence
% K = LATTICE filter (reflection) co
www.eeworm.com/read/159921/10588588
m contents.m
% Fisher`s classifier
%
% fishdemo - Demo on algorithms which find Fisher's classifier.
%
% Algorithms:
% fisherp - Modified Perceptron's lerning rule.
% fisherk - Modified Kozinec's algori
www.eeworm.com/read/421949/10677274
m contents.m
% Fisher`s classifier
%
% fishdemo - Demo on algorithms which find Fisher's classifier.
%
% Algorithms:
% fisherp - Modified Perceptron's lerning rule.
% fisherk - Modified Kozinec's algori
www.eeworm.com/read/239550/13272790
m latcfilt.m
function [y] = latcfilt(K,x)
% LATTICE form realization of FIR filters
% ---------------------------------------
% y = latcfilt(K,x)
% y = output sequence
% K = LATTICE filter (reflection) co