代码搜索:para

找到约 10,000 项符合「para」的源代码

代码结果 10,000
www.eeworm.com/read/238264/13898721

m scmparset.m

function scmpar=scmparset(varargin) %SCMPARSET Model parameter configuration for SCM % SCMPAR=SCMPARSET sets default parameters for the input struct SCMPAR % (see SCM). % % SCMPARSET para
www.eeworm.com/read/106512/15635225

prg openurl.prg

Func OpenURL para cURL DECLARE INTEGER ShellExecute ; IN SHELL32.DLL ; INTEGER nWinHandle,; STRING cOperation,; STRING cFileName,; STRING cParameters,; STRING cDirec
www.eeworm.com/read/430499/8741366

m main_88.m

clc;clear; figure(1); Parameter_Sum=6;%从Parameter_Sum_All中找出参数个数为Parameter_Sum的最优组合 Para_Position=zeros(10,Parameter_Sum); for kkk=1:1 [J_Yuan,Para_Position(kkk,:),Parameter_Sum_All]=wh_test_44(P
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asm xu6.asm

STACK SEGMENT PARA STACK 'STACK' DB 256 DUP(0) STACK ENDS DATA SEGMENT PARA PUBLIC 'DATA' DAT DB 00H,20H DB 00H,20H DB 00H,20H DB 00H,20H DB 01H,40H DB
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m main_88.m

clc;clear; figure(1); Parameter_Sum=6;%从Parameter_Sum_All中找出参数个数为Parameter_Sum的最优组合 Para_Position=zeros(10,Parameter_Sum); for kkk=1:1 [J_Yuan,Para_Position(kkk,:),Parameter_Sum_All]=wh_test_44(P
www.eeworm.com/read/217547/14959066

m main_88.m

clc;clear; figure(1); Parameter_Sum=6;%从Parameter_Sum_All中找出参数个数为Parameter_Sum的最优组合 Para_Position=zeros(10,Parameter_Sum); for kkk=1:1 [J_Yuan,Para_Position(kkk,:),Parameter_Sum_All]=wh_test_44(P
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xrf ufmtest_modelsim.xrf

vendor_name = ModelSim source_file = 1, C:/franchiese/FPGA文档资料/altera设计实例/MAX II和MAX设计实例/UFTtest/para_ufm.qip source_file = 1, C:/franchiese/FPGA文档资料/altera设计实例/MAX II和MAX设计实例/UFTtest/para_ufm.v so
www.eeworm.com/read/229812/4736518

esm push.esm

.387 .386p _d16 SEGMENT PARA PRIVATE USE16 'DATA' L$1: DB 0, 0 L$2: DB 0, 0 L$3: DB 0, 0 _d16 ENDS _d32 SEGMENT PARA PRIVATE USE32 'DATA' L$4: DB 0, 0 L$5: DB 0,
www.eeworm.com/read/181418/9255735

m remove_mean.m

function [dp_x,dp_y]= remove_mean(bdp_x,bdp_y,para_type) % dp refers to Data preprocessed % bdp refers to before data preprocess % bdp_x refers to before data preprocessed x value % bdp_y refe
www.eeworm.com/read/365492/9861138

m remove_mean.m

function [dp_x,dp_y]= remove_mean(bdp_x,bdp_y,para_type) % dp refers to Data preprocessed % bdp refers to before data preprocess % bdp_x refers to before data preprocessed x value % bdp_y refers