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/363803/9935716
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/362663/9987295
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/362008/10023877
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/357874/10199110
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/160490/10526932
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/276402/10741704
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/276402/10741797
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/420621/10786210
m ask_ofdm_dct.m
% Script for computing the Bit Error probability using OFDM modulation
% Implemenation of ASK OFDM with DCT DAN IDCT
clear all
nDCT = 64 % dct size
nDSC = 64 % number of data subcarriers
nBit
www.eeworm.com/read/349902/10786284
m fdr_thresholds.m
function th = fdr_thresholds(plist, levels, lnmeth)
% fdr_thresholds - compute probability thresholds for q(FDR) levels
%
% FORMAT: th = fdr_thresholds(plist, levels [, lnmeth])
%
% Input
www.eeworm.com/read/349842/10796796
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