代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/462242/7205927
m lmseqdetec.m
%Detection Guided LMS Equalizer with White Inputs
%Filename: Lmseqdetec.m
%Noise variance of 0.01
u =[zeros(1,35),randn(1,5000)];
u=sign(u);
figure(1);clf;
plot(u);title ('Input');grid on;zoom on;
H
www.eeworm.com/read/147422/5729173
m esprit.m
%
% [f b]=esprit(x, P, nv)
% inputs
% x : data sequence
% P : number of poles
% nv : noise variance
% Modified by D. G. Childers
function [f, b, l] = esprit(x,P,nv)
P=2*P;
%The above i
www.eeworm.com/read/224614/14579993
m kalmanf.m
clear s
s.x = 12;
s.A = 1;
% % Define a process noise (stdev) of 2 volts as the car operates:
s.Q = 2^2; % variance, hence stdev^2
% Define the voltimeter to measure the voltage itself:
s.H = 1;
www.eeworm.com/read/189320/5200797
h statistics.h
#ifndef _STATISTICS_H_
#define _STATISTICS_H_
/* statistics.h,v 1.3 2000/06/04 22:00:03 brunsch Exp */
extern double mean(const double, const int);
extern double variance(const double, const doub
www.eeworm.com/read/200886/15420677
m gengamma.m
function x = gengamma(alpha, beta)
% return a Gamma random variable of mean alpha/beta and variance alpha/beta^2
% http://www-sigproc.eng.cam.ac.uk/oldhomes/pl201/public_html/Matlab/gengamma.m
% if
www.eeworm.com/read/390373/8468535
m channel.m
function y = channel(sig2, Mt, Mr, x, H, N);
% function y = channel(sig2, Mt, Mr, x, H, N)
%
% Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% M
www.eeworm.com/read/428608/8856232
m lsfblp.m
function [a,e,V,FPE]=lsfblp(x,M)
% Linear predictor design using No-Windowing
% forward-backward linear least-squares
% Model parameters [1 a1...aM V]
% V=input signal variance.
% FPE=Akaike's fi
www.eeworm.com/read/282317/9102200
m lsfblp.m
function [a,e,V,FPE]=lsfblp(x,M)
% Linear predictor design using No-Windowing
% forward-backward linear least-squares
% Model parameters [1 a1...aM V]
% V=input signal variance.
% FPE=Akaike's fi
www.eeworm.com/read/184067/9123846
m randn.m
%R=randn(m,n) 生成标准正态分布的m行n列随机矩阵
%RANDN Normally distributed random numbers.
% RANDN(N) is an N-by-N matrix with random entries, chosen from
% a normal distribution with mean zero and variance