Plot multiple b-value on an error vs frequency plot.

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I need to plot (a vs Ex_nz) and (a vs Ex_ny) for different values of b= 0.1, b=0.2, b=0.3, b-0.4 and b=0.5. How can I plot these on the same figure just like the R in the image attached?
clear all; close all; clc;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
x(1)=0;
y(1)=0;
a=1:1:14;
b=0.3;
for i=2:10000
x(i)=1-1.4*(x(i-1)^2)+y(i-1);
y(i)=b*x(i-1);
end
%plot(x,y,'.','MarkerSize',2)
%hold on
%xlabel('x')
%ylabel('y')
%title('henon map')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Observation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
ksaix = [10 -7.6428 2.2896 0 -10.8200 0 -0 0 0 -0 0 -0 0 0 -0 -0];
ksaiy=[0.0000 2.2928 -2.2896 -0 0 -0 0 0 0 0 -0 -0 -0 0 -0 -0];
ksaix_ref=[1 0 1 0 -1.4 0 0 0 0 0 0 0 0 0 0 0];
ksaiy_ref=[0 0.3 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
count=0;
for N_m=3:16
count=count+1;
N_measurements=N_m;
N_basis=16;
SDx_sum=(ksaix(1)-ksaix_ref(1))^2+(ksaix(3)-ksaix_ref(3))^2+(ksaix(5)-ksaix_ref(5))^2;
SDy_sum=(ksaiy(2)-ksaiy_ref(2))^2;
SCx_sum=(ksaix_ref(1))^2+(ksaix_ref(3))^2+(ksaix_ref(5))^2;
SCy_sum=(ksaiy_ref(2))^2;
Ex_nz(count)=sqrt(SDx_sum)/sqrt(SCx_sum);
Ey_nz(count)=sqrt(SDy_sum)/sqrt(SCy_sum);
Data(count)=N_measurements/N_basis;
end
figure
hold on
plot (a,Ex_nz,'o-r')
plot (a,Ey_nz,'s-k')
  1 Comment
VBBV
VBBV on 5 Jan 2021
%rue
clear all; close all; clc;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
x(1)=0;
y(1)=0;
a=1:1:14;
b=0.1:0.01:0.3;
for bb = 1:length(b)
for i=2:10000
x(i,bb)=1-1.4*(x(i-1)^2)+y(i-1);
y(i,bb)=b(bb)*x(i-1);
end
end
plot(x,y,'.','MarkerSize',2)
%hold on
%xlabel('x')
%ylabel('y')
Use KSSV method in for loop as above

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Answers (1)

KSSV
KSSV on 5 Jan 2021
Something like this:
clear all; close all; clc;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simulation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
n = 10000 ;
x = zeros(1,n) ;
y = x ;
x(1)=0;
y(1)=0;
a=1:1:14;
b = 0.1:0.1:0.5 ;
Ex_nz = zeros(length(b),14) ;
Ey_nz = zeros(length(b),14) ;
Data = zeros(length(b),14) ;
for bb = 1:length(b)
for i=2:10000
x(i)=1-1.4*(x(i-1)^2)+y(i-1);
y(i)=b(bb)*x(i-1);
end
%plot(x,y,'.','MarkerSize',2)
%hold on
%xlabel('x')
%ylabel('y')
%title('henon map')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Observation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
ksaix = [10 -7.6428 2.2896 0 -10.8200 0 -0 0 0 -0 0 -0 0 0 -0 -0];
ksaiy=[0.0000 2.2928 -2.2896 -0 0 -0 0 0 0 0 -0 -0 -0 0 -0 -0];
ksaix_ref=[1 0 1 0 -1.4 0 0 0 0 0 0 0 0 0 0 0];
ksaiy_ref=[0 0.3 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
count=0;
for N_m=3:16
count=count+1;
N_measurements=N_m;
N_basis=16;
SDx_sum=(ksaix(1)-ksaix_ref(1))^2+(ksaix(3)-ksaix_ref(3))^2+(ksaix(5)-ksaix_ref(5))^2;
SDy_sum=(ksaiy(2)-ksaiy_ref(2))^2;
SCx_sum=(ksaix_ref(1))^2+(ksaix_ref(3))^2+(ksaix_ref(5))^2;
SCy_sum=(ksaiy_ref(2))^2;
Ex_nz(bb,count)=sqrt(SDx_sum)/sqrt(SCx_sum);
Ey_nz(bb,count)=sqrt(SDy_sum)/sqrt(SCy_sum);
Data(bb,count)=N_measurements/N_basis;
end
end
figure
hold on
plot (a,Ex_nz,'o-r')
plot (a,Ey_nz,'s-k')

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