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📄 lpcplot.m

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function lpcplot(A,Nfft,Fs,m)%  lpcplot --> Plots AR filter frequency response.%%  <Synopsis>%    lpcplot(A,Nfft,Fs)%    lpcplot(A,Nfft,Fs,m)%%  <Description>%    The function plots the magnitude spectrum of the digital filter%%             jw    1                    1%      Theta(e) = ----- = ---------------------------------%                    jw               -jw              -jnw%                 A(e)    a(1) + a(2)e + .... + a(n+1)e%%    given denominator coefficients in vector A. The frequency response%    is evaluated at Nfft points equally spaced around the upper half of%    the unit circle. Fs is the sampling frequency in Hz.%%    When A is a matrix, the function operates on the columns of A, i.e.,%    evaluates one frequency response per column. The vector m gives%    the index of the last sample in each frame used to obtain the columns%    of A, so the length of m must be the same as the number of columns%    in the matrix A. In this case the filter response is plot as function%    of time, m, and frequency (mesh plot).%  <Revision>%    Peter S.K. Hansen, IMM, Technical University of Denmark%%    Last revised: September 30, 2000%-----------------------------------------------------------------------[M,N] = size(A);if (N==1)  [Theta,F] = freqz(1,A,Nfft,Fs);  plot(F,20*log10(abs(Theta)));  xlabel('Frequency, {\it F}  [Hz]');  ylabel('Magnitude, |\theta(\omega)|  [dB]');else  if (length(m) ~= N)    error('The column dimension of A must be equal to the length of m.')  end    Theta = zeros(Nfft,N);  for (n=1:N)    [Theta(:,n),F] = freqz(1,A(:,n),Nfft,Fs);  end  MeshHndl = meshz(m,F,20*log10(abs(Theta)));  axis ij; view(-45,45); set(MeshHndl,'MeshStyle','Column');  axis tight; axis 'auto y'; axis 'auto z';  xlabel('Sample Number, {\it n}');  ylabel('Frequency, {\it F}  [Hz]');  zlabel('Magnitude, |\theta(\omega)|  [dB]');end%-----------------------------------------------------------------------% End of function lpcplot%-----------------------------------------------------------------------

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