代码搜索：average

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
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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',
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www.eeworm.com/read/244790/12843724

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',
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www.eeworm.com/read/141739/12988673

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',
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www.eeworm.com/read/240990/13180613

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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www.eeworm.com/read/240990/13180686

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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www.eeworm.com/read/240686/13205241

cpp prg13_4.cpp

#include #pragma hdrstop #include "bstree.h" #include "avltree.h" #include "random.h" // loads array, binary search tree and avl tree with same // n random numbers in the range
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www.eeworm.com/read/325143/13224307

java weatherfan.java

public class WeatherFan { public static void main(String[] args) { float[][] temperature = new float[10][365]; // Temperature array // Generate random temperatures for(int i
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www.eeworm.com/read/324448/13262757

txt ch3i.txt

Chapter 3 Algorithm Analysis: Instructor's CD questions 1. A growth rate applies to: a) the time taken by an algorithm in the average case. b) the time taken by an algorithm as the input size gr
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www.eeworm.com/read/137160/13341860

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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www.eeworm.com/read/319478/13450917

res grun.res

Sample data set for generalized runs test with N = 9, CFORM = 4 and G = 2. GENERALIZED RUNS PERMUTATION PROCEDURES (GRUN) I
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