📄 esprit.m
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function w=esprit(y,n,m)
%
% The ESPRIT method for frequency estimation.
%
% w=esprit(y,n,m);
%
% y -> the data vector
% n -> the model order
% m -> the order of the covariance matrix in (4.5.14)
% w <- the frequency estimates
%
% Copyright 1996 by R. Moses
y=y(:);
N=length(y); % data length
% compute the sample covariance matrix
R=zeros(m,m);
for i = m : N,
R=R+y(i:-1:i-m+1)*y(i:-1:i-m+1)'/N;
end
% to use the forward-backward approach, uncomment the next line
% R=(R+fliplr(eye(m))*R.'*fliplr(eye(m)))/2;
% get the eigendecomposition of R; use svd because it sorts eigenvalues
[U,D,V]=svd(R);
S=U(:,1:n);
phi = S(1:m-1,:)\S(2:m,:);
w=-angle(eig(phi));
return
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