代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/124842/14534306
m prob_ga.m
% Script file for calculating the probability of a certain input
% appearing in a member of the population. For analysing the output of
% auto_ga.
%
% Run ver_ga first to generate win_pop and num
www.eeworm.com/read/225182/14552748
txt 目錄.txt
FOUNDATIONS
Chapter 1 - The Breadth and Depth of DSP
Chapter 2 - Statistics, Probability and Noise
Chapter 3 - ADC and DAC
Chapter 4 - DSP Software
FUNDAMENTALS
Chapter 5 - Linear Systems
Cha
www.eeworm.com/read/223154/14652221
m normpdf.m
function p = normpdf(x,m,s);
% NORMPDF returns normal probability density
%
% pdf = normpdf(x,m,s);
%
% Computes the PDF of a the normal distribution
% with mean m and standard deviation s
www.eeworm.com/read/223154/14652286
m tpdf.m
function p = tpdf(x,n);
% TPDF returns student probability density
%
% pdf = tpdf(x,DF);
%
% Computes the PDF of a the student distribution
% with DF degreas of freedom
% x,DF must be matr
www.eeworm.com/read/216488/15005762
m pdfpoly.m
function pdffun=PDFpoly(data,L,bs,deg,cont,fixval);
% PDFpoly Estimate the pdf (probability density function) by polynomials
% i.e, a function in the pp-form (piecewise polynomial).
%
www.eeworm.com/read/214740/15090097
m prob_ga.m
% Script file for calculating the probability of a certain input
% appearing in a member of the population. For analysing the output of
% auto_ga.
%
% Run ver_ga first to generate win_pop and num
www.eeworm.com/read/477371/1362566
3 qccenthuffmandesign.3
.TH QCCENTHUFFMANDESIGN 3 "QCCPACK" ""
.SH NAME
QccENTHuffmanDesign \-
design of Huffman code table from probability distribution
.SH SYNOPSIS
.B #include "libQccPack.h"
.sp
.BI "int QccENTHuffmanDesi
www.eeworm.com/read/461213/1554851
3 qccenthuffmandesign.3
.TH QCCENTHUFFMANDESIGN 3 "QCCPACK" ""
.SH NAME
QccENTHuffmanDesign \-
design of Huffman code table from probability distribution
.SH SYNOPSIS
.B #include "libQccPack.h"
.sp
.BI "int QccENTHuffmanDesi
www.eeworm.com/read/225759/4792536
glm readme.glm
A probability density P(y) is in the exponential family if it can be
written in the form
P(y) = c(y) * exp[ eta' * t(y) - psi(eta) ]
where eta is called the natural parameter of the distribution
and
www.eeworm.com/read/225759/4792604
glm readme.glm
A probability density P(y) is in the exponential family if it can be
written in the form
P(y) = c(y) * exp[ eta' * t(y) - psi(eta) ]
where eta is called the natural parameter of the distribution
and