代码搜索：Beta值
找到约 10,000 项符合「Beta值」的源代码
代码结果 10,000
www.eeworm.com/read/243151/12958713
txt 软件滤波方法与实现.txt
软件滤波
11种软件滤波方法(这个是论坛里的经典老贴了)
1、限幅滤波法（又称程序判断滤波法）
A、方法：
根据经验判断，确定两次采样允许的最大偏差值（设为A）
每次检测到新值时判断：
如果本次值与上次值之差A,则本次值无效,放弃本次值,用上次值代替本次值
www.eeworm.com/read/148514/12461781
txt 10种软件滤波方法.txt
1、限幅滤波法（又称程序判断滤波法）
A、方法：
根据经验判断，确定两次采样允许的最大偏差值（设为A）
每次检测到新值时判断：
如果本次值与上次值之差A,则本次值无效,放弃本次值,用上次值代替本次值
B、优点：
能有效克服因偶然因素引起的脉冲干
www.eeworm.com/read/431012/8713924
m adapt1.m
function [xnh,ah,bh,sh]=adapt1(xn0,tol,alpha,beta,source,bd)
%ADAPT1 Generate adaptively refined grid.
% [XN,ALPHA,BETA,S] = ADAPT1(XN0,TOL,ALPHA,BETA,S,BD),
% where XN is the adaptively gener
www.eeworm.com/read/386624/8734690
m adapt1.m
function [xnh,ah,bh,sh]=adapt1(xn0,tol,alpha,beta,source,bd)
%ADAPT1 Generate adaptively refined grid.
% [XN,ALPHA,BETA,S] = ADAPT1(XN0,TOL,ALPHA,BETA,S,BD),
% where XN is the adaptively gener
www.eeworm.com/read/430307/8757313
m adapt1.m
function [xnh,ah,bh,sh]=adapt1(xn0,tol,alpha,beta,source,bd)
%ADAPT1 Generate adaptively refined grid.
% [XN,ALPHA,BETA,S] = ADAPT1(XN0,TOL,ALPHA,BETA,S,BD),
% where XN is the adaptively gener
www.eeworm.com/read/123705/14616046
m adapt1.m
function [xnh,ah,bh,sh]=adapt1(xn0,tol,alpha,beta,source,bd)
%ADAPT1 Generate adaptively refined grid.
% [XN,ALPHA,BETA,S] = ADAPT1(XN0,TOL,ALPHA,BETA,S,BD),
% where XN is the adaptively gener
www.eeworm.com/read/309003/3708743
m iwt_segai.m
function beta = IWT_SegAI(w,L,D,F,EF,t)
% IWT_SegAI -- Inverse Segmented Transform
% Usage
% beta = IWT_SegAI(w,L,D,F,EF,t)
%
[n,J] = dyadlength(w);
beta = w(1:(2^L));
for j=L:(J-1) ,
www.eeworm.com/read/289119/8575043
m betacdf.m
function p = betacdf(x,a,b);
%BETACDF Beta cumulative distribution function.
% P = BETACDF(X,A,B) returns the beta cumulative distribution
% function with parameters A and B at the values in X.
%
www.eeworm.com/read/288586/8620361
m betacdf.m
function p = betacdf(x,a,b);
%BETACDF Beta cumulative distribution function.
% P = BETACDF(X,A,B) returns the beta cumulative distribution
% function with parameters A and B at the values in X.
%
www.eeworm.com/read/178062/9420757
m betacdf.m
function p = betacdf(x,a,b);
%BETACDF Beta cumulative distribution function.
% P = BETACDF(X,A,B) returns the beta cumulative distribution
% function with parameters A and B at the values in X.
%