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txt microsoft windows wireless zero configuration information disclosure exploit.txt

//The code is not perfect, but demonstrates the given problem. If the API //is changed the code can be easily broken. //The code is released under GPL (http://www.gnu.org/licenses/gpl.html), by Lasz
www.eeworm.com/read/339665/12211680

m demmdn1.m

%DEMMDN1 Demonstrate fitting a multi-valued function using a Mixture Density Network. % % Description % The problem consists of one input variable X and one target variable % T with data generated by
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m demmlp1.m

%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X at eq
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m ds扩频仿真.m

% MATLAB script for Illustrative Problem 4, Chapter 9. echo on Lc=20; % Number of chips per bit A1=3; % amplitude of the first sinusoidal interference A2=7; % amplitude of the se
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m ds扩频仿真.m

% MATLAB script for Illustrative Problem 4, Chapter 9. echo on Lc=20; % Number of chips per bit A1=3; % amplitude of the first sinusoidal interference A2=7; % amplitude of the se
www.eeworm.com/read/150905/12250521

m demmdn1.m

%DEMMDN1 Demonstrate fitting a multi-valued function using a Mixture Density Network. % % Description % The problem consists of one input variable X and one target variable % T with data generated by
www.eeworm.com/read/150905/12250647

m demmlp1.m

%DEMMLP1 Demonstrate simple regression using a multi-layer perceptron % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampling X at eq
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m ip_01_08.m

% MATLAB script for Illustrartive Problem 8, Chapter 1. clear ts=0.001; Fs=1/ts; t=[0:ts:10]; x=cos(2*pi*47*t)+cos(2*pi
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m qpsk_modulation.m

%QPSK Implemenatation clear; %This is the first part of the problem where we are first generating a %random input of size 6 bits, which results in 3 QPSk sysmbols; Input = round(rand(1,6)); %Conv
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m baart.m

function [A,b,x] = baart(n) %BAART Test problem: Fredholm integral equation of the first kind. % % [A,b,x] = baart(n) % % Discretization of a first-kind Fredholm integral equation with % kernel K and