代码搜索:average

找到约 5,196 项符合「average」的源代码

代码结果 5,196
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h avg.h

sound_type snd_make_avg(sound_type s, long blocksize, long stepsize, long op); sound_type snd_avg(sound_type s, long blocksize, long stepsize, long op); /* LISP: (snd-avg SOUND FIXNUM FIXNUM FIXNU
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cpp pr0604.cpp

// Programming with C++, Second Edition, by John R. Hubbard // Copyright McGraw-Hill, 2000 // Problem 6.4 on page 143 // Passing an array to a function #include using namespace s
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cpp pr0510.cpp

// Programming with C++, Second Edition, by John R. Hubbard // Copyright McGraw-Hill, 2000 // Problem 5.10 on page 112 // The Average of at Most Four Function #include // defines
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txt readme.txt

======================================================================== MICROSOFT FOUNDATION CLASS LIBRARY : K_average =======================================================================
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txt readme.txt

======================================================================== MICROSOFT FOUNDATION CLASS LIBRARY : K_average =======================================================================
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m cp0302_ppm_periodic.m

% % FUNCTION 3.3 : "cp0302_PPM_periodic" % % Generation of a PPM-UWB signal in the case of a generic % periodic modulating signal and rectangular pulses % Modulating signal is chosen to be charac
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m cp0303_ppm_random.m

% % FUNCTION 3.4 : "cp0303_PPM_random" % % Generation of a PPM-UWB signal in the case of % a random modulating signal and rectangular pulses % The modulating signal is characterized by % a norma
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m averagec.m

%AVERAGEC Combining of linear classifiers by averaging coefficients % % W = AVERAGEC(V) % W = V*AVERAGEC % % INPUT % V A set of affine base classifiers. % % OUTPUT % W Combined classifier. % %
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htm ei20.htm

Effective C++, 2E | Item 20: Avoid data members in the public interface Back to Item 19: Differentiate among member functions, non-member functions, and friend functions. Continue to Item 21: Use con
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m som_kmeanscolor2.m

function [color,centroids]=som_kmeanscolor2(mode,sM,C,initRGB,contrast,R) % SOM_KMEANSCOLOR2 Color codes a SOM according to averaged or best K-means clustering % % color = som_kmeanscolor2('average',