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