Why does the LPC function return complex values in the Signal Processing Toolbox 5.x (R12.x)?

MathWorks Support Team

2009 6 27

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For example, running the following code results in a real answer a in MATLAB 5.3 (R11.1) but in a complex answer in MATLAB 6.x (R12.x).

randn('state',0);
   noise = randn(50000,1); % Normalized white Gaussian noise
x = filter(1,[1 1/2 1/3 1/4],noise);
x = x(45904:50000);
   a = lpc(x,3);

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MathWorks Support Team 2009-6-27

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This enhancement has been made for Release 14 (R14). For previous product releases, please read below for any possible workarounds:

This is due to the FFT and the IFFT functions used within LPC for computing the biased autocorrelation estimate. This can safely be ignored. You can use the REAL function to turn your vector into a real signal.