代码搜索：Fast
找到约 10,000 项符合「Fast」的源代码
代码结果 10,000
www.eeworm.com/read/410585/11276197
m cyclic_autocorrelation_fast.m
function R=cyclic_autocorrelation_fast(x,T,max_tau)
%
% CYCLIC_AUTOCORRELATION_FAST
%
% calculates the cyclic autocorrelation for signal x
% at frequency alpha=
www.eeworm.com/read/410585/11276205
m cyclic_cumulants_fast.m
function [m,v,s,k]=cyclic_cumulants_fast(x,T)
%
% CYCLIC_CUMULANTS_FAST
% calculate synchronously averaged zero lag cumulants
% up to fourth order
%
% USGAE
%
www.eeworm.com/read/410585/11276212
m cyclic_autocovariance_fast.m
function R=cyclic_autocovariance_fast(x,T,max_tau)
%
% CYCLIC_AUTOCOVARIANCE_FAST
%
% calculates the cyclic autocovariance for signal x
% at frequency alpha=1/T
www.eeworm.com/read/405216/11468908
zip toolbox_fast_marching.zip
www.eeworm.com/read/402881/11526728
m cyclic_autocorrelation_fast.m
function R=cyclic_autocorrelation_fast(x,T,max_tau)
%
% CYCLIC_AUTOCORRELATION_FAST
%
% calculates the cyclic autocorrelation for signal x
% at frequency alpha=
www.eeworm.com/read/402881/11526732
m cyclic_cumulants_fast.m
function [m,v,s,k]=cyclic_cumulants_fast(x,T)
%
% CYCLIC_CUMULANTS_FAST
% calculate synchronously averaged zero lag cumulants
% up to fourth order
%
% USGAE
%
www.eeworm.com/read/402881/11526735
m cyclic_autocovariance_fast.m
function R=cyclic_autocovariance_fast(x,T,max_tau)
%
% CYCLIC_AUTOCOVARIANCE_FAST
%
% calculates the cyclic autocovariance for signal x
% at frequency alpha=1/T
www.eeworm.com/read/157691/11671563
c spo_alert_fast.c
/*
** Copyright (C) 1998,1999,2000,2001 Martin Roesch
** Copyright (C) 2000,2001 Andrew R. Baker
**
** This program is free software; you can redistribute it a
www.eeworm.com/read/157691/11671641
h spo_alert_fast.h
/*
** Copyright (C) 1998,1999,2000,2001 Martin Roesch
** Copyright (C) 2000,2001 Andrew R. Baker
**
** This program is free software; you can redistribute it a
www.eeworm.com/read/260938/11685617
m featureselect_fw_fast.m
%程序描述：featureselect_FW_fast.m,按分类效率对属性进行选择，前向方法,快速算法---------优化算法(胡),
%邻域依赖性指标计算复杂度。
%efficiency：the significance of the selected features。
%data_array：Input data with decision ranked in the last c