How to plot this kind of figure?
37 views (last 30 days)
Show older comments
Gaétan Andriano
on 20 Nov 2024 at 15:03
Commented: Gaétan Andriano
ongeveer 5 uur ago
Hello,
I would like to reproduce these figures that I found in a scientific article. They are just below.
The values to generate the waves are not important for me, it's just an illustration.
0 Comments
Accepted Answer
Umeshraja
ongeveer 14 uur ago
I understand that you're looking to illustrate wavelets between two lines that pass through the origin. The goal is to determine the lengths of the long and short wavelets and plot their shifted versions. Below is a sample script that demonstrates how to draw a Morlet wavelet between lines with slopes of 5 and 1, and how to shift these wavelets to y = 4 and y = 6.
close all;
% Define the slopes of the two lines
slope1 = 5;
slope2 = 1;
% Define a range for the x-values in the first quadrant (positive values)
x = 0:0.01:10;
% Calculate the corresponding y-values for each line
y1 = slope1 * x;
y2 = slope2 * x;
% Calculate the x-values where the lines intersect y = 4 and y = 6
xs1 = 4 / slope1;
xs2 = 4 / slope2;
WaveletLengthShort=xs2-xs1;
xl1 = 6 / slope1;
xl2 = 6 / slope2;
WaveletLengthLong=xl2-xl1;
w0 = 2;
t=-3:0.01:9 ;
t_long = -WaveletLengthLong*0.5:0.01:WaveletLengthLong*0.5;
sigma1 = 0.75; % Standard deviation of the Gaussian window
% Morlet Wavelet (Real part only)
morlet_wavelet = (pi^(-0.25)) * exp(2i * pi * w0 * t_long) .* exp(-t_long.^2 / (2 * sigma1^2));
t_shifted1 = t_long +WaveletLengthLong*0.5+xl1;
y_shifted1 = 6 * ones(size(t));
indices1 = (t >= min(t_shifted1) & t <= max(t_shifted1) );
y_shifted1(indices1) = y_shifted1(indices1) + (morlet_wavelet);
% Create a shorter second wavelet
t_short = -WaveletLengthShort*0.5:0.01:WaveletLengthShort*0.5; % Shorter time vector
sigma2=0.5;
morlet_wavelet_short = 0.8*(pi^(-0.25)) * exp(2i * pi * w0 * t_short) .* exp(-t_short.^2 / (2 * sigma2^2));
% Shift the second wavelet to the right by 1 unit and plot at y = 1
t_shifted2 = t_short + WaveletLengthShort*0.5+xs1;
y_shifted2 = 4 * ones(size(t));
% Find indices in the original time vector that match the shifted short wavelet
indices2 = (t >= min(t_shifted2) & t <= max(t_shifted2));
y_shifted2(indices2) = y_shifted2(indices2) + (morlet_wavelet_short);
figure;
plot(x, y1, 'k');
hold on;
plot(x, y2, 'k');
plot(t, real(y_shifted1), 'b');
plot(t, real(y_shifted2), 'r');
hold off;
ylim([0 8])
xlim([0 8])
Adjust any parameters as needed to fit your specific requirements.
More Answers (0)
See Also
Categories
Find more on Continuous Wavelet Transforms in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!