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/405069/11472219
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/262112/11605463
txt hufftext.txt
huffman.zip
This file contains some MatLab m-files (version 5.2)
which do complete Huffman Coding.
The files are:
hufflen
Based on probability (or number of occurences) of each symbol
www.eeworm.com/read/155919/11838399
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/152755/12087461
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/339590/12223525
txt hufftext.txt
huffman.zip
This file contains some MatLab m-files (version 5.2)
which do complete Huffman Coding.
The files are:
hufflen
Based on probability (or number of occurences) of each symbol
www.eeworm.com/read/150214/12304787
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
www.eeworm.com/read/131588/14136289
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/233414/14154629
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
www.eeworm.com/read/129915/14217700
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/228515/14381001
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