Hello, how can I calculate the row and column by inserting a 3D matrix using this equation,, so that the input 3D matrix and output 2D matrix

1 vue (au cours des 30 derniers jours)
clc
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xm= [5 5 5 5;5 -4 -3 -2;5 -1 0 1;5 2 3 4]
xm = 4×4
5 5 5 5 5 -4 -3 -2 5 -1 0 1 5 2 3 4
n=length(xm);
[cf] =coherence_factor(xm,n)
cf = 1×4
1.0000 0.0741 0.2315 0.9074
function [cf] = coherence_factor(xm,n)
for i=1:4;
n=length(xm(i,:));
%%%%%%%%%%%%%%%%%%%% equation %%%%%%%%%%%%%%%%%%%
cf(i)=(abs (sum(xm(i,:))).^2) / (n* sum(abs(xm(i,:).^2)));
end
CF=cf(i);
end

Réponses (1)

DUY Nguyen
DUY Nguyen le 2 Mar 2023
Hi, you mean that with your given function, we need to calculate the factor for 3D matrix right?
% Define the input 3D matrix
xm = cat(3, [5 5 5 5;5 -4 -3 -2;5 -1 0 1;5 2 3 4], [4 4 4 4;4 -3 -2 -1;4 0 1 2;4 3 4 5]);
% Get the number of rows and columns in the input matrix
[~,n,~] = size(xm);
% Initialize the output coherence factor matrix
cf = zeros(n, size(xm,3));
% Calculate coherence factor for each slice of the 3D matrix
for i = 1:size(xm, 3)
cf(:,i) = (abs(sum(xm(:,:,i), 2)).^2) ./ (n * sum(abs(xm(:,:,i)).^2, 2));
end
% Display the input and output matrices
disp('Input 3D matrix:')
Input 3D matrix:
disp(xm)
(:,:,1) = 5 5 5 5 5 -4 -3 -2 5 -1 0 1 5 2 3 4 (:,:,2) = 4 4 4 4 4 -3 -2 -1 4 0 1 2 4 3 4 5
disp('Output coherence factor matrix:')
Output coherence factor matrix:
disp(cf)
1.0000 1.0000 0.0741 0.0333 0.2315 0.5833 0.9074 0.9697

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