Hi @XIAO WEI-ZHI, from my understanding, you have generated the “taper” array and want to gain more insights into it.
To get more insights, we can perform the following analysis:
- We can calculate the mean and standard deviation of the array to understand the distribution of the data.
mean_real = mean(real(taper));
std_real = std(real(taper));
mean_imag = mean(imag(taper));
std_imag = std(imag(taper));
- We can plot the real part of the “taper” array with the imaginary part to get visual understanding of the data.
plot(real(taper), imag(taper), 'o');
xlabel('Real Part');
ylabel('Imaginary Part');
title('Real vs Imaginary Parts of Taper');
- We can create histograms of the magnitudes and phases of the “taper” array.
histogram(abs(taper));
xlabel('Magnitude');
ylabel('Frequency');
title('Histogram of Taper Magnitudes');
histogram(angle(taper));
xlabel('Phase (radians)');
ylabel('Frequency');
title('Histogram of Taper Phases');
- We can also plot the “taper” array against the “designed_taper” to compare their magnitudes or phases.
plot(1:N, abs(taper), 'b-o', 1:N, designed_taper, 'r--');
xlabel('Element Index');
ylabel('Magnitude');
legend('Perturbed Taper', 'Designed Taper');
title('Comparison of Taper Magnitudes');
Attaching the documentation of functions used for reference:
I hope this helps.
