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/312163/13617592
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% dsamp - Generates samples from discrete distribution.
% erfc2 - Normal cumulative dis
www.eeworm.com/read/150760/12266173
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% dsamp - Generates samples from discrete distribution.
% erfc2 - Normal cumulative dis
www.eeworm.com/read/213492/15133820
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% dsamp - Generates samples from discrete distribution.
% erfc2 - Normal cumulative dis
www.eeworm.com/read/411674/11233969
m contents.m
% Probability distribution functions.
%
% estimation - (dir) Probability distribution estimation.
%
% erfc2 - Normal cumulative distribution function.
% gmmsamp - Generates sample from Gau
www.eeworm.com/read/430511/8740998
pdf probability of error calculation of ofdm systems with frequency offset.pdf
www.eeworm.com/read/165409/10063540
ppt 第1讲：讨论_basic probability theory.ppt
www.eeworm.com/read/198545/7929358
m normqq.m
function []=normqq(y)
%NORMQQ NORMQQ(Y) produces a normal probability plot of the elements of Y.
% GKS 27 July 95
y = sort(y(:));
nd = normq( (1:length(y))./(length(y)+1) );
plot(nd,nd,nd,y,
www.eeworm.com/read/309349/13673653
ex-ham7a
#!/bin/sh
# Example of decoding a (7,4) Hamming code using exhaustive enumeration and
# probability propagation, with an Additive White Gaussian Noise channel with
# noise standard deviation of 0.5,
www.eeworm.com/read/150214/12304811
ex-ham7a
#!/bin/sh
# Example of decoding a (7,4) Hamming code using exhaustive enumeration and
# probability propagation, with an Additive White Gaussian Noise channel with
# noise standard deviation of 0.5,
www.eeworm.com/read/233414/14154642
ex-ham7a
#!/bin/sh
# Example of decoding a (7,4) Hamming code using exhaustive enumeration and
# probability propagation, with an Additive White Gaussian Noise channel with
# noise standard deviation of 0.5,