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/344562/11872378

m hy02xbal.m

% HY02XBAL - From impulse response and sequential free % responses to a balanced state sequence. % % XBAL = hy02xbal(h,y0,delta,n,tol) % % H - first T>2*DELTA samples of the impulse respon
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www.eeworm.com/read/228003/14403659

c fano.c

/* * Soft decision Fano sequential decoder for K=32 r=1/2 convolutional code * Copyright 1994, Phil Karn, KA9Q */ #define LL 1 /* Select Layland-Lushbaugh code */ #include #include
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www.eeworm.com/read/472269/1412833

cascade all_extended_0_5_10_15_closed_30x20.cascade

# cascaded classifier # ClassifierCascade "closed_30x20", sequential, 30x20, ratio 0.6875 (fpr:2.88275e-10, dr:0.703356, successful) 9 strong classifiers. STRONG classifier 0 (fpr:0.359732, dr:0.9959
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www.eeworm.com/read/233448/4681683

f90 inquire.f90

! { dg-do run } ! check to see that you cannot open a direct access file ! for sequential i/o. ! derived from NIST test fm910.for IMPLICIT NONE CHARACTER*10 D4VK OPEN(UNIT=7, A
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www.eeworm.com/read/396844/2407852

m som_prototrain.m

function [sM,sTrain] = som_prototrain(sM, D) %SOM_PROTOTRAIN Use sequential algorithm to train the Self-Organizing Map. % % [sM,sT] = som_prototrain(sM, D) % % sM = som_prototrain(sM,D); % % Inpu
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www.eeworm.com/read/393024/2489955

submakefile

ifneq ($(GTK_VERSION),) CLASSICLADDERSRCS := $(addprefix hal/classicladder/, \ arithm_eval.c \ arrays.c \ calc.c \ calc_sequential.c \ classicladder.c \ classicladder_gtk.c \ config_gtk.c \ dr
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www.eeworm.com/read/366702/2877576

f90 inquire.f90

! { dg-do run } ! check to see that you cannot open a direct access file ! for sequential i/o. ! derived from NIST test fm910.for IMPLICIT NONE CHARACTER*10 D4VK OPEN(UNIT=7, A
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www.eeworm.com/read/265651/4281585

cpp fig14_07.cpp

// Fig. 14.7: fig14_07.cpp // Reading and printing a sequential file #include #include #include #include void outputLine( int, const char *, d
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www.eeworm.com/read/294611/8216841

m som_prototrain.m

function [sM,sTrain] = som_prototrain(sM, D) %SOM_PROTOTRAIN Use sequential algorithm to train the Self-Organizing Map. % % [sM,sT] = som_prototrain(sM, D) % % sM = som_prototrain(sM,D); % % Inpu
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www.eeworm.com/read/367875/9725079

m som_prototrain.m

function [sM,sTrain] = som_prototrain(sM, D) %SOM_PROTOTRAIN Use sequential algorithm to train the Self-Organizing Map. % % [sM,sT] = som_prototrain(sM, D) % % sM = som_prototrain(sM,D); % % Inpu
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