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/396844/2407560
m mynormpdf.m
function y = normpdf(x,mu,sigma)
%NORMPDF Normal probability density function (pdf).
% Y = NORMPDF(X,MU,SIGMA) Returns the normal pdf with mean, MU,
% and standard deviation, SIGMA, at the values
www.eeworm.com/read/386597/2570150
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/474600/6813470
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/359187/6841955
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/294151/8250102
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/366886/9794228
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/415313/11076991
m computeap.m
% ComputeAP: calculate the average precision
%
% Parameters:
% Y_prob: array of predicted probability
% Y_test: array of true labels
% class_set: set of all possible labels
function AvgPrec =
www.eeworm.com/read/415311/11077111
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/414864/11098627
m cp0901_muiber_2pam.m
%
% Function 9.4 : "cp0901_MUIBER_2PAM"
%
% Evaluates the theoretical probability of error
% for a 2PAM system in AWGN channels under the
% Standard Gaussian Approximation
%
% 'ebn0' is a v
www.eeworm.com/read/265447/11264122
ex-ham7b
#!/bin/sh
# Example of coding using a (7,4) Hamming code, with transmission through
# a Binary Symmetric Channel with error probability of 0.05.
#
# This example shows how random source messages can