TRCA代码matlab
时间: 2023-11-28 10:45:30 浏览: 58
以下是TRCA的Matlab代码示例:
```matlab
function [W, A, R] = trca(X, Y, lambda)
% TRCA: Task-Related Component Analysis
%
% [W, A, R] = trca(X, Y, lambda)
%
% Input:
% X: {cell array}, X{i} is the i-th trial, X{i}(j, :), j-th sample of i-th trial
% Y: {cell array}, Y{i} is the label of i-th trial, Y{i} = 1, 2, ..., C
% lambda: {scalar}, regularization parameter
%
% Output:
% W: {cell array}, spatial filters, W{i}(:, j) is the j-th filter of i-th class
% A: {cell array}, activation patterns, A{i}(j, :) is the j-th pattern of i-th class
% R: {cell array}, covariance matrices, R{i} is the covariance matrix of i-th class
C = max(Y);
[N, P] = size(X{1});
% calculate the covariance matrices
R = cell(1, C);
for i = 1:C
Xi = X(Y == i);
Ri = zeros(P, P);
for j = 1:length(Xi)
Ri = Ri + Xi{j}' * Xi{j};
end
R{i} = Ri / length(Xi);
end
% calculate the spatial filters
W = cell(1, C);
for i = 1:C
Ri = R{i};
R0 = (1 - lambda) * Ri + lambda * mean(cat(3, R{[1:i-1, i+1:C]}), 3);
[V, D] = eig(Ri, R0);
[~, ind] = sort(diag(D), 'descend');
W{i} = V(:, ind);
end
% calculate the activation patterns
A = cell(1, C);
for i = 1:C
Xi = X(Y == i);
Wi = W{i};
Ai = zeros(length(Xi), N);
for j = 1:length(Xi)
Ai(j, :) = Xi{j} * Wi;
end
A{i} = Ai;
end
end
```