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experiment2_2.m

% Experiment 2, CS: Haykin % phase lock loop and cycle slipping % requires functions lin.m to run % Experiment2_2.m and Experiment2_1.m are used for Part 3 % of Experiment2. % time interval t0=0;t

experiment1_1.m

%Experiment 1 %Rayleigh distribution clear all P=100; Nf=0;Xf=0; for i=1:P N=1000; M=2; a=sqrt(randn(N,M).^2 + randn(N,M).^2); xi=a.*cos(cos(rand(N,M)*2*pi) + rand(N,M)*2*pi);

sqnqf7.m

x=[-35:35]/7; alp=0.5; gx=(sin(pi*(1-alp)*x)+4*alp.*x.*cos(pi*(1+alp).*x))./(pi*x.*(1-(4*alp*x).^2)); gx(36)=(1-alp)+4*alp/pi; figure(1) plot(gx) xlabel('Filter Coefficients') [gf,w]=freqz(gx,1

sa_ex8_1a.m

%Godara Method % Example 8.1 d=.5; N=5; theta=-pi/2:.01:pi/2; ang=theta*180/pi; th0=0; % receive angle th1=-15*pi/180; % first interferer angle th2=25*pi/180; % secon

sa_fig4_19.m

%Smart antennas figure 4.19 kaiser-bessel weights on a linear arra d=.5; N=input('what is the number of elements?'); theta=-pi/2:.01:pi/2; ang=theta*180/pi; test=kaiser(N,3); check=mod(N,2) if

sa_fig4_25.m

% Smart Antennas figure 4.25 plotting 3-d circular array patterns th0=input('What is the steering angle for \theta0?') ph0=input('What is the steering angle for \phi0?') th0=th0*pi/180; ph0=ph0*p

sa_ex8_2b.m

%Maximum SIR beamforming d=.5; N= 5; sig2=.001; % noise variance theta=-pi/2:.01:pi/2; ang=theta*180/pi; th0=30*pi/180; % receive angle th1=-20*pi/180; % first interferer a

sa_fig6_23.m

% Angular distribution for a circle of scatterers thmax=pi/4; th=-pi/4+.01:.001:pi/4-.01; f=1./sqrt(thmax^2-th.^2); figure; plot(th*180/pi,f,'k') xlabel('Arrival Angle') Ylabel('PAP') axis([

sa_ex8_5.m

%Minimum variance Array Weights % example 8.5 d=.5; N= 5; sig2=.001; % noise variance theta=-pi/2:.01:pi/2; ang=theta*180/pi; th0=30*pi/180; % receive angle th1=-10*pi/180; s=1;

sa_ex8_3.m

%Minimum MSE beamforming % Example 8.3 d=.5; N=5; sig2=.001; % noise variance theta=-pi/2:.01:pi/2; ang=theta*180/pi; th0=20*pi/180; % receive angle th1=-20*pi/180; % firs