I need to quanitfy how similarity between two spectral profile. I have looked at procrustes distance but it dosent work when spectrum is shifted on x axis. Is there a way to quanitfy this, ideally between 0 (no similairty) and 1 (perfect similarity) ?
x1 = 0:0.1:10;
Y1 = gaussmf(x1,[0.8 5 ]);
Y2 = gaussmf(x1,[0.8 3 ]);
Y3 = gaussmf(x1,[0.4 2 ]);

figure(1)
plot(x1,Y1, ‘k’,’Linewidth’,2)
hold on
plot(x1,Y2, ‘b’,’Linewidth’,2)
hold on
plot(x1,Y3, ‘r’,’Linewidth’,2)
legend(["A","B","C"])
figure(1)
In the toy example, A and B are very similar so that should have a high similairty index but A-C and B-C should have lower similarity.I need to quanitfy how similarity between two spectral profile. I have looked at procrustes distance but it dosent work when spectrum is shifted on x axis. Is there a way to quanitfy this, ideally between 0 (no similairty) and 1 (perfect similarity) ?
x1 = 0:0.1:10;
Y1 = gaussmf(x1,[0.8 5 ]);
Y2 = gaussmf(x1,[0.8 3 ]);
Y3 = gaussmf(x1,[0.4 2 ]);

figure(1)
plot(x1,Y1, ‘k’,’Linewidth’,2)
hold on
plot(x1,Y2, ‘b’,’Linewidth’,2)
hold on
plot(x1,Y3, ‘r’,’Linewidth’,2)
legend(["A","B","C"])
figure(1)
In the toy example, A and B are very similar so that should have a high similairty index but A-C and B-C should have lower similarity. I need to quanitfy how similarity between two spectral profile. I have looked at procrustes distance but it dosent work when spectrum is shifted on x axis. Is there a way to quanitfy this, ideally between 0 (no similairty) and 1 (perfect similarity) ?
x1 = 0:0.1:10;
Y1 = gaussmf(x1,[0.8 5 ]);
Y2 = gaussmf(x1,[0.8 3 ]);
Y3 = gaussmf(x1,[0.4 2 ]);

figure(1)
plot(x1,Y1, ‘k’,’Linewidth’,2)
hold on
plot(x1,Y2, ‘b’,’Linewidth’,2)
hold on
plot(x1,Y3, ‘r’,’Linewidth’,2)
legend(["A","B","C"])
figure(1)
In the toy example, A and B are very similar so that should have a high similairty index but A-C and B-C should have lower similarity. similarity index, procrustes, spectral matching MATLAB Answers — New Questions

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