代码搜索：Probabilities
找到约 751 项符合「Probabilities」的源代码
代码结果 751
www.eeworm.com/read/262089/11607131
txt huff.txt
。。。% HUFFMAN.M - Find the binary Huffman code for a given set of
% probabilities.
% EE740 W98 - J. Schamus
function [code, L] = huffman(P)
P = [8 7 6 5 4 3 2 1]
P = P / (sum(P) +
www.eeworm.com/read/131832/14123130
m mat2huff.m
function y = mat2huff(x)
% MAT2HUFF Huffman encode a matrix.
% Y = MAT2HUFF(X) Huffman encodes matrix X using symbol
% probabilities in unit-width histogram bins between X's minimum
% and ma
www.eeworm.com/read/396844/2407770
m som_probability_gmm.m
function [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%SOM_PROBABILITY_GMM Probabilities based on a gaussian mixture model.
%
% [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%
% [K,P] = som_e
www.eeworm.com/read/294611/8216614
m som_probability_gmm.m
function [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%SOM_PROBABILITY_GMM Probabilities based on a gaussian mixture model.
%
% [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%
% [K,P] = som_e
www.eeworm.com/read/367875/9724868
m som_probability_gmm.m
function [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%SOM_PROBABILITY_GMM Probabilities based on a gaussian mixture model.
%
% [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%
% [K,P] = som_e
www.eeworm.com/read/235928/14041436
m som_probability_gmm.m
function [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%SOM_PROBABILITY_GMM Probabilities based on a gaussian mixture model.
%
% [pd,Pdm,pmd] = som_probability_gmm(D, sM, K, P)
%
% [K,P] = som_e
www.eeworm.com/read/314474/13566528
3 prob.3
.\" $Id: Prob.3,v 1.1 1996/07/13 01:35:40 stolcke Exp $
.TH Prob 3 "$Date: 1996/07/13 01:35:40 $" SRILM
.SH NAME
Prob \- Probabilities for SRILM
.SH SYNOPSIS
.B "#include "
.SH DESCRIPTION
.B
www.eeworm.com/read/468647/6986169
m postlh.m
function [P1N]=postlh(w,ES,PS,MU,SI,P1)
% function [P1N]=postlh(w,ES,PS,MU,SI,P1)
% compute posterior state probabilities given data w and HMT model
% for LH subband
%
% Author: H. Choi
% Last u
www.eeworm.com/read/468647/6986182
m posthh.m
function [P1N]=posthh(w,ES,PS,MU,SI,P1)
% function [P1N]=posthh(w,ES,PS,MU,SI,P1)
% compute posterior state probabilities given data w and HMT model
% for HH subband
%
% Author: H. Choi
% Last update
www.eeworm.com/read/468647/6986194
m posthl.m
function [P1N]=posthl(w,ES,PS,MU,SI,P1)
% function [P1N]=posthl(w,ES,PS,MU,SI,P1)
% compute posterior state probabilities given data w and HMT model
% for HL subband
%
% Author: H. Choi
% Last update