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www.eeworm.com/read/247638/12638441
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/247527/12652517
m gaoutputgen.m
function [state, options,optchanged] = gaoutputgen(options,state,flag,interval)
%GAOUTPUTGEN Prints generations and best fitness value.
% [STATE, OPTIONS, OPTCHANGED] = GAOUTPUTGEN(OPTIONS,STATE,F
www.eeworm.com/read/134087/14008763
m sigav.m
% sigav.m - signal averaging
%
% y = sigav(D, N, x)
%
% D = length of each period
% N = number of periods
% x = row vector of length at least ND (doesn't check it)
% y = length-D row vector containing
www.eeworm.com/read/134087/14008785
m sigav1.m
% sigav.m - signal averaging
%
% y = sigav(D, N, x)
%
% D = length of each period
% N = number of periods
% x = row vector of length at least ND (doesn't check it)
% y = length-D row vector containing
www.eeworm.com/read/133667/14030864
readme19
Chapter 19 - Programming for the Internet - HTML.
simple.html - a simple html document.
format.html - a document with text formatting.
lists.html - a document with unordered, numbered and d
www.eeworm.com/read/235965/14038499
h ftheader.h
/***************************************************************************/
/* */
/* ftheader.h
www.eeworm.com/read/205223/15323286
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/203170/15364502
m signal_averaging.m
% sigav.m - signal averaging
%
% y = sigav(D, N, x)
%
% D = length of each period
% N = number of periods
% x = row vector of length at least ND (doesn't check it)
% y = length-D row vector containing
www.eeworm.com/read/202785/15373398
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou
www.eeworm.com/read/200619/15428497
m dichotomic_grouping.m
function [part,B,G] = dichotomic_grouping(pos,options)
% dichotomic_grouping - regroup points into 2^s (s is unknown) bins of nearly equal size.
%
% [part,B,G] = dichotomic_grouping_1d(pos,opt