代码搜索:Normalized

找到约 4,216 项符合「Normalized」的源代码

代码结果 4,216
www.eeworm.com/read/266363/4272493

c invert_limb.c

/* mpn_invert_limb -- Invert a normalized limb. Copyright 1991, 2000, 2001 Free Software Foundation, Inc. This file is part of the GNU MP Library. The GNU MP Library is free software; you can redis
www.eeworm.com/read/248729/12544191

m mk_stochastic.m

function CPT = mk_stochastic(CPT) % MK_STOCHASTIC Make a matrix stochastic, i.e., the sum over the last dimension is 1. % T = mk_stochastic(T) % % If T is a vector, it will be normalized. % If T is a
www.eeworm.com/read/385659/8793719

m 聚类算法.m

%最短距离法系统聚类分析 % ZSCORE Standardized z score. % Z = ZSCORE(D) returns the deviation of each column of D from its mean % normalized by its standard deviation. This is known as the Z score of
www.eeworm.com/read/186716/8914538

m acf_plot.m

function acf_plot(Rxx,arg1) % ACF_PLOT ..... Plot the autocorrelation function from ACF. % % ACF_PLOT(Rxx) plots the autocorrelation function Rxx using normalized % sampling period, Ts = 1. %
www.eeworm.com/read/186413/8934169

m cluster_test1.m

%最短距离法系统聚类分析 % ZSCORE Standardized z score. % Z = ZSCORE(D) returns the deviation of each column of D from its mean % normalized by its standard deviation. This is known as the Z score of
www.eeworm.com/read/379667/9190009

m interpolation_by_dfs.m

function [xi,Xi] = interpolation_by_DFS(T,x,Ws,ti) %T : sampling interval (sample period) %x : discrete-time sequence %Ws: normalized stop frequency (1.0=pi[rad]) %ti: interpolation time range o
www.eeworm.com/read/425695/10336632

m sp_normalize_sift.m

function sift_arr = sp_normalize_sift(sift_arr) % normalize SIFT descriptors (after Lowe) % find indices of descriptors to be normalized (those whose norm is larger than 1) tmp = sqrt(sum(sift_ar
www.eeworm.com/read/354575/10344895

m ahphier.m

function out=ahphier(all,varargin) %AHPHIER One-step hierarchical assembly of AHP weighting vector % AHPHIER(ALL,A_1,A_2,...,A_N) combines the normalized vectors % A_1,A_2,...,A_N of lower
www.eeworm.com/read/463764/6947713

m ahphier.m

function out=ahphier(all,varargin) %AHPHIER One-step hierarchical assembly of AHP weighting vector % AHPHIER(ALL,A_1,A_2,...,A_N) combines the normalized vectors % A_1,A_2,...,A_N of lower
www.eeworm.com/read/458661/7291848

m nfig.m

% nfig.m - noise figure of two-port % % Usage: F = nfig(Fmin, rn, gGopt, gG); % % Fmin = minimum noise figure in dB % rn = normalized noise resistance Rn/Z0 % gGopt = optimum source reflecti