代码搜索：ordered

找到约 1,143 项符合「ordered」的源代码

代码结果 1,143
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/316944/13514070

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/108242/6184112

c vocab.c

/* look-up vocabulary word in lex-ordered table. words may have two entries with different codes. if minimum acceptable type = 0, then return minimum of different codes. last word CANNOT ha
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www.eeworm.com/read/410826/11267661

c dither.c

/* * ordered dither rotines * * stolen from The GIMP and trimmed for speed * */ #include #include "dither.h" #define DITHER_LEVEL 8 static long red_mult, green_mult; static lo
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www.eeworm.com/read/157453/11702996

cdat

.nr H1 4 .oh "The Abstract Data Type" .eh "Stacks" .CS STACKS .CE .NH 2 THE ABSTRACT DATA TYPE .LP .sp A \fIstack\fR is an ordered list of elements. One end of this list is designated the
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www.eeworm.com/read/259580/11779795

input compress.input

.nr H1 4 .oh "The Abstract Data Type" .eh "Stacks" .CS STACKS .CE .NH 2 THE ABSTRACT DATA TYPE .LP .sp A \fIstack\fR is an ordered list of elements. One end of this list is designated the
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www.eeworm.com/read/150749/12267428

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/132141/14106951

cdat

.nr H1 4 .oh "The Abstract Data Type" .eh "Stacks" .CS STACKS .CE .NH 2 THE ABSTRACT DATA TYPE .LP .sp A \fIstack\fR is an ordered list of elements. One end of this list is designated the
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www.eeworm.com/read/119681/14824500

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/214923/15083048

m bay_lssvmard.m

function [inputs,ordered,costs,sig2n,model] = bay_lssvmARD(model,type,btype,nb); % Bayesian Automatic Relevance Determination of the inputs of an LS-SVM % % % >> dimensions = bay_lssvmARD({X,Y,type,
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www.eeworm.com/read/237137/4631626

m siso_sc_fde.m

function SoftDetOut = SISO_SC_FDE(R, h, sigma2, softfb, var, LLR, N, ModType) % Soft input without the aprior ordered succesive interference cancelation for V-BLAST initial detection. % % function
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