how to unite two curves smoothly in matlab?
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    Zeynep Ertekin
 am 4 Apr. 2022
  
    
    
    
    
    Kommentiert: Zeynep Ertekin
 am 4 Apr. 2022
            Hello,
I have two distinct curves, sharing one data point in common. I would like to join/unite these curves in a plot, without repeating the same data point. Additionally, I want to get rid of the spike @ 15.2 Here is the excel that I read the data from, and the fig output. If anyone would help me please??
In the excel; 
Column A and B shows the  data of the first curve, x and y respectively.
Column D and E shows the  data of the second curve, x and y respectively.
Column G and H shows the united data, x and y data. On the rows of 1001 and 1002, data at 15.2 is repeated. Even tough I eliminate one row, I do not know how to smooth the region of 15.2. Hope there is a smarter way than deleting some points and interpolating with new ones.
Your helps would be more than apprecitated..
clc
clear all
close all
Ku_eGR_IL_WG_S21=xlsread('Ku_eGR_IL_WG.xlsx','H:H'); % A S21 magnitude
frequency=xlsread('Ku_eGR_IL_WG.xlsx','G:G'); % frequency
plot(frequency,Ku_eGR_IL_WG_S21,'LineWidth',2);
grid on
grid minor
xlabel('Frequency (GHz)');
ylabel('Insertion S21 (dB)');
title(' Ku eGR IL WG ');
legend('eGR IL');
set(gca,'FontSize',15,'fontweight','bold')
xlim([12 18.4]);
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  Davide Masiello
      
 am 4 Apr. 2022
        
      Bearbeitet: Davide Masiello
      
 am 4 Apr. 2022
  
      This should work
clc, clear, clf
Ku_eGR_IL_WG_S21 =xlsread('Ku_eGR_IL_WG.xlsx','H:H'); % A S21 magnitude
frequency =xlsread('Ku_eGR_IL_WG.xlsx','G:G'); % frequency
[frequency,idx,idx2] = unique(frequency);
Ku_eGR_IL_WG_S21 = Ku_eGR_IL_WG_S21(idx);
jump = Ku_eGR_IL_WG_S21(find(~diff(idx2)))-Ku_eGR_IL_WG_S21(find(~diff(idx2))+1);
Ku_eGR_IL_WG_S21(find(~diff(idx2))+1:end) = jump+Ku_eGR_IL_WG_S21(find(~diff(idx2))+1:end);
plot(frequency,Ku_eGR_IL_WG_S21,'LineWidth',2);
grid on
grid minor
xlabel('Frequency (GHz)');
ylabel('Insertion S21 (dB)');
title(' Ku eGR IL WG ');
legend('eGR IL');
set(gca,'FontSize',15,'fontweight','bold')
xlim([12 18.4]);
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