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/147096/12586930
m smldpe56.m
function [p]=smldPe56(snr_in_dB)
% [p]=smldPe56(snr_in_dB)
% SMLDPE56 simulates the probability of error for a given
% snr_in_dB, signal to noise ratio in dB.
E=1;
alpha_opt=1/2;
SNR=exp
www.eeworm.com/read/147096/12586949
m smldpe57.m
function [p]=smldPe57(snr_in_dB)
% [p]=smldPe57(snr_in_dB)
% SMLDPE57 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(1
www.eeworm.com/read/248061/12603979
m contents.m
% RICIAN
%
% Files
% ricepdf - Rice/Rician probability density function (pdf).
% ricernd - Random samples from the Rice/Rician probability distribution.
% ricestat - Mean and variance of Rice/
www.eeworm.com/read/300562/13905489
m smldpe57.m
function [p]=smldPe57(snr_in_dB)
% [p]=smldPe57(snr_in_dB)
% SMLDPE57 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(10)/10
www.eeworm.com/read/300562/13905491
m smldpe56.m
function [p]=smldPe56(snr_in_dB)
% [p]=smldPe56(snr_in_dB)
% SMLDPE56 simulates the probability of error for a given
% snr_in_dB, signal to noise ratio in dB.
E=1;
alpha_opt=1/2;
SNR=exp(snr_in
www.eeworm.com/read/300562/13905542
m smldpe58.m
function [p]=smldPe58(snr_in_dB)
% [p]=smldPe58(snr_in_dB)
% SMLDPE58 simulates the probability of error for the given
% snr_in_dB, signal to noise ratio in dB.
d=1;
SNR=exp(snr_in_dB*log(10)/10
www.eeworm.com/read/300562/13905676
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/300562/13905780
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p1
www.eeworm.com/read/300562/13905849
m cm_sm41.m
function [p]=cm_sm41(snr_in_dB)
% [p]=cm_sm41(snr_in_dB)
% CM_SM41 finds the probability of error for the given
% value of snr_in_dB, SNR in dB.
N=10000;
d=1; % min. distance between symbo
www.eeworm.com/read/300086/13936457
m entropy.m
function h=entropy(p)
% H=ENTROPY(P) returns the entropy function of
% the probability vector P.
if length(find(p