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/286662/8751806
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/286640/8752760
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/429378/8809690
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/428974/8826191
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/187080/8858460
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/186716/8914531
m detect.m
function [b_out] = detect(in,vth,sampling_instant,b_original)
% DETECT ...... Convert the waveform at the output of the receiver filter
% back to the binary sequence. Probability of bit error (B
www.eeworm.com/read/380059/9167109
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/177129/9468863
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/372113/9521188
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/170272/9812805
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