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/335007/12555563
m prob.m
function [py nBins]= prob(varargin)
% PROB calculates probability distribution of y among nBins number of bins
%
% USAGE:
% [py nBins]= prob(y)
% [py nBins]= prob(y,maxBins)
%
% INP
www.eeworm.com/read/248061/12603998
m ricestat.m
function [mu vr] = ricestat(v, s)
%RICESTAT Mean and variance of Rice/Rician probability distribution.
% [mu vr] = ricepdf(v, s) returns the mean and variance of the Rice
% distribution with para
www.eeworm.com/read/133539/14036409
readme
I've butchered the probability function part of the cephes library by:
(a) Turning everything into a C++ program. Besides just changing the file
extensions, I had to change all of the function d
www.eeworm.com/read/202785/15372949
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/202785/15373302
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/201006/15418384
m probdist_alpha.m
function a = probdist_alpha(varargin)
% PROBDIST_ALPHA Create a new probability distribution with coefficients
% for damped adaptation of values
%
% Copyright (C) 1999-2004 Antti Honkela, Harri Valpo
www.eeworm.com/read/111003/15520356
c comp.c
/*
comp.c headerfile for quasistatic probability model
(c) Michael Schindler
1997, 1998, 1999, 2000
http://www.compressconsult.com/
michael@compressconsult.com
This program i
www.eeworm.com/read/191902/8417194
m hmm_boltzmann.m
function [a, b] = HMM_Boltzmann(Nh, No, V, init_state)
% Find the probability transition matrices a,b from sample data using the Boltzmann network algorithm
%
% Inputs:
% Nh - Number of hidd
www.eeworm.com/read/389811/8498294
m decodeprobdomain.m
function vHat = decodeProbDomain(rx, H, N0, iteration)
% Probability-domain sum product algorithm LDPC decoder
%
% rx : Received signal vector (column vector)
% H : LDPC matrix
%
www.eeworm.com/read/389184/8544793
txt hufftext.txt
huffman.zip
This file contains some MatLab m-files (version 5.2)
which do complete Huffman Coding.
The files are:
hufflen
Based on probability (or number of occurences) of each symbol