You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: mat2lpc.m
    path of file: ./repos/digital-image-processing-matlab/sample_code/DIPUM_toolbox_m-file_v1.1.3
    
    the code of the file until where you have to start completion: function y = mat2lpc(x, f)
%MAT2LPC Compresses a matrix using 1-D lossles predictive coding.
%   Y = MAT2LPC(X, F) encodes matrix X using 1-D lossless predictive
%   coding. A linear prediction of X is made based on the
%   coefficients in F. If F is omitted, F = 1 (for previous pixel

    
function y = mat2lpc(x, f)
%MAT2LPC Compresses a matrix using 1-D lossles predictive coding.
%   Y = MAT2LPC(X, F) encodes matrix X using 1-D lossless predictive
%   coding. A linear prediction of X is made based on the
%   coefficients in F. If F is omitted, F = 1 (for previous pixel
%   coding) is assumed. The prediction error is then computed and
%   output as encoded matrix Y. 
%
%   See also LPC2MAT.

%   Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
%   Digital Image Processing Using MATLAB, Prentice-Hall, 2004
%   $Revision: 1.4 $  $Date: 2003/06/18 12:38:39 $

error(nargchk(1, 2, nargin));       % Check input arguments
if nargin < 2                       % Set default filter if omitted
    f = 1;   
end