Open Pvtwen opened 8 months ago
Problem 1: Thanks for pointing out! I made an oversight when writing the code.
Problem 2: It is possibly due to the detailed settings in your code that cause an offset, but it is not a big problem since different settings are just translation of parallel lines in this linear Guassian case. Figure 6 focuses on the spacing between parallel lines and whether KNet and optimal KF coincide. Since you got a similar 3 dB spacing, the spacing is similar to that in my paper.
Problem 1: Thanks for pointing out! I made an oversight when writing the code.
Problem 2: It is possibly due to the detailed settings in your code that cause an offset, but it is not a big problem since different settings are just translation of parallel lines in this linear Guassian case. Figure 6 focuses on the spacing between parallel lines and whether KNet and optimal KF coincide. Since you got a similar 3 dB spacing, the spacing is similar to that in my paper.
Appreciate it! You've solved my problem.
I find some problems in the papers and the code.
Problem 1. In the paper's formation (16) which writes F_{alpha}=R*F_0, but in the code Simulations/Linear_canonical/parameters.py which writes
F_rotated = torch.mm(F,rotate_matrix)
.Problem 2. I run the code which assumes
F_rotated = torch.mm(F,rotate_matrix)
is right and α=10°, 2x2, 1/r^2=0, the result shows 1.2492 dB, -2.2682 dB respectively. However, in the figure 6(a), the KF results shows 8 dB, 11 dB respectively. So i suspect that the legend 1 to legend 3 in the figure 6(a) should add "MSE+10" like the figure 5.