代码搜索：sequential

找到约 1,846 项符合「sequential」的源代码

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www.eeworm.com/read/198751/7912584

sdc wb_master_fsm.sdc

log_puts {@N|Using encoding styles selected by FSM Explorer.} log_puts {Data created on Mon Mar 13 22:15:49 2006} define_attribute {work.WB_Master.verilog|i:state[3:0]} syn_encoding {sequential}
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www.eeworm.com/read/313956/13578053

m tutbchsq.m

function [ret,x0,str,ts,xts]=tutbchsq(t,x,u,flag); %TUTBCHSQ is the M-file description of the SIMULINK system named TUTBCHSQ. % TUTBCHSQ has a the following characteristics: % 0 continuous states
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www.eeworm.com/read/309739/13665127

vif fft_test.vif

# # Synplicity Verification Interface File # Generated using Synplify-pro # # Copyright (c) 1996-2005 Synplicity, Inc. # All rights reserved # # Set logfile options vif_set_result_file fft_
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www.eeworm.com/read/219736/14866660

vif pa_se.vif

# # Synplicity Verification Interface File # Generated using Synplify-pro # # Copyright (c) 1996-2005 Synplicity, Inc. # All rights reserved # # Set logfile options vif_set_result_file pa_s
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www.eeworm.com/read/219736/14866661

vif se_pa.vif

# # Synplicity Verification Interface File # Generated using Synplify-pro # # Copyright (c) 1996-2005 Synplicity, Inc. # All rights reserved # # Set logfile options vif_set_result_file se_p
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www.eeworm.com/read/217397/14966405

m tutbchsq.m

function [ret,x0,str,ts,xts]=tutbchsq(t,x,u,flag); %TUTBCHSQ is the M-file description of the SIMULINK system named TUTBCHSQ. % TUTBCHSQ has a the following characteristics: % 0 continuous states
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www.eeworm.com/read/147096/12586098

m tutbchsq.m

function [ret,x0,str,ts,xts]=tutbchsq(t,x,u,flag); %TUTBCHSQ is the M-file description of the SIMULINK system named TUTBCHSQ. % TUTBCHSQ has a the following characteristics: % 0 continuous states
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www.eeworm.com/read/101557/15827281

m tutbchsq.m

function [ret,x0,str,ts,xts]=tutbchsq(t,x,u,flag); %TUTBCHSQ is the M-file description of the SIMULINK system named TUTBCHSQ. % TUTBCHSQ has a the following characteristics: % 0 continuous states
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www.eeworm.com/read/288586/8620308

pdf sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions.pdf

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www.eeworm.com/read/286662/8751711

txt feature_selection.txt

Exhaustive_Feature_Selection@Out dim, classifier, classifier params@[2,'LS',[]]@S Genetic_Culling@%groups, Out dim, classifier, classifier params@[0.1,2,'LS',[]]@S HDR@Out dimension@2@S ICA@Out di
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