代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/430037/1942798
m pr3_36.m
%Problem 3.36;
%Simulates the RAKE algorithm on the example of LFM bit pulse.
clear all; close all;
t=[1:3000]/500; N=length(t); %time scale;
WD=40; %deviation of LFM bit pulse;
S=exp(i*pi*WD*(
www.eeworm.com/read/367675/2835839
txt 840.txt
发信人: 8088 (8088), 信区: DataMining
标 题: 4.5 偏差型知识(<mark>Deviation</mark>)
发信站: 南京大学小百合站 (Wed Dec 12 16:29:10 2001)
----此外，还可以发现其他类型的知识，如偏差型知识(<mark>Deviation</mark>)，它是对差异和极端特
例的描述，揭示事物偏离常规的异常现象，如标准类外的特例，数据聚类外的离群值等。
所有这些 ...
www.eeworm.com/read/396828/8088357
m sc_stdone_snn.m
function [y, sc] = sc_stdone_snn(x, parameters, s)
%SC_STDONE_SNN scaling function; scale data to std deviation 1.
%
% Syntax
%
% 1. Initial scaling:
% [y, sc] = sc_stdone_snn(x)
% x - valu
www.eeworm.com/read/14545/389052
h portab.h
#ifndef _PORTAB_H_
#define _PORTAB_H_
#if defined(WIN32)
#include "systems.h"
#define DEBUGCBR(A,B,C) { char tmp[100]; wsprintf(tmp, "CBR: frame: %i, quant: %i, deviation: %i\n", (A), (B), (C)); Ou
www.eeworm.com/read/279486/4136282
m mccv_sse.m
function [Mu,Sigma] = mccv_sse(mccv)
%MCCV_SSE Find mean and standard deviation of SSE from MCCV runs.
% [Mu,Sigma] = MCCV_SSE(MCCV_Struct)
% or
% [Mu,Sigma,trainMu,] = MCCV_SSE(Array_S
www.eeworm.com/read/270032/11051392
c arcdivid.c
/* arcdivide.c - recursive circular arc subdivision (FP version) */
#define DMAX 0.5 /* max chordal deviation = 1/2 pixel */
#include
#include "../ch7-7/GG4D/GGems.h"
/* Function prototy
www.eeworm.com/read/38039/1092963
mnu devsetup.mnu
DEVN#OPTS 偏差选项
#
Scale 比例
Change relative scale of display.
修改显示的相对比例
Tolerance 公差
Change deviation tolerance.
改变偏差公差。
Done/Return 完成/返回
Exit this menu.
退出此菜单。
www.eeworm.com/read/138743/5813995
m filt_gwn.m
function [g,sig] = Filt_GWN(n,beta,alpha)
% Filt_GWN- Makes GWN of s.d beta low-pass filtered
% Usage
% sig = Fig1(n,beta,k)
% Inputs
% beta standard deviation
% n desired signal leng
www.eeworm.com/read/343762/11928709
m hist2res.m
function [R]=hist2res(H,fun)
% Evaluates Histogram data
% [R]=hist2res(H)
%
% [y]=hist2res(H,fun)
% estimates fun-statistic
%
% fun 'mean' mean
% 'std' standard deviation
% 'var' variance
% 'sem' stan
www.eeworm.com/read/227522/14421666
m hist2res.m
function [R]=hist2res(H,fun)
% Evaluates Histogram data
% [R]=hist2res(H)
%
% [y]=hist2res(H,fun)
% estimates fun-statistic
%
% fun 'mean' mean
% 'std' standard deviation
% 'var' variance
% 'sem' stan