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/416230/11037574
m program_12_4.m
% Program 12_4
% Computation of the Output Noise Variance Due
% to Input Quantization of a Digital Filter
% Based on a Partial-Fraction Approach
%
num = input('Type in the numerator = ');
den
www.eeworm.com/read/469416/6976369
m mdnprob.m
function [prob,a] = mdnprob(mixparams, t)
%MDNPROB Computes the data probability likelihood for an MDN mixture structure.
%
% Description
% PROB = MDNPROB(MIXPARAMS, T) computes the probability P(
www.eeworm.com/read/465406/7054699
m gabor2d_sub.m
function [gaborp_2d]=gabor2d_sub(angle,num_disk)
% Modified by PRTsinghua@hotmail.com
variance=32;
k=10;
x=cos(angle*pi/num_disk);
y=sin(angle*pi/num_disk);
w=(2*pi)/k;
p=0;
m=0;
for (i
www.eeworm.com/read/464843/7060874
m gabor2d_sub.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% generate a Gabor filter for centralizing.m
% written by zhang_rui at Chinese Academy of Science
% E-mail:zhangrui05@mail
www.eeworm.com/read/108028/7113426
h patch.h
#ifndef PATCH_H
#define PATCH_H
// Depth of variance tree: should be near SQRT(PATCH_SIZE) + 1
#define VARIANCE_DEPTH (9)
// Predefines...
class Landscape;
//
// TriTreeNode Struct
//
www.eeworm.com/read/449504/7501958
m norm_inv.m
function invp = norm_inv(x, m, v)
% PURPOSE: computes the quantile (inverse of the CDF)
% for each component of x with mean m, variance v
%------------------------------------------------
www.eeworm.com/read/449504/7501979
m unif_d.m
% PURPOSE: demo of uniform distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% USAG
www.eeworm.com/read/449504/7502010
m gamm_d.m
% PURPOSE: demo of gamma distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% USAGE:
www.eeworm.com/read/448935/7521648
m ar1nv.m
function [g,a]=ar1nv(x)
% AR1NV - Estimate the parameters for an AR(1) model
% Syntax: [g,a]=ar1nv(x);
%
% Input: x - a time series.
%
% Output: g - estimate of the lag-one autocorrelation.
%
www.eeworm.com/read/444297/7614377
m gabor2d_sub.m
function [gaborp_2d]=gabor2d_sub(angle,num_disk)
% Modified by Luigi Rosa
global immagine n_bands h_bands n_arcs h_radius h_lato n_sectors matrice
variance=32;
k=10;
x=cos(angle*pi/num_disk