lpc

(/tools/hpmatlab/toolbox/signal/lpc.m)

Function Synopsis

a=lpc(h,N);

Help text

LPC	Linear Predictive Coding.
	A = LPC(X,N) finds the coefficients of an Nth order auto-regressive
	process that models the time series X as follows:
	   X(n) = -A(2)*X(n-1) - A(3)*X(n-2) - ... - A(N+1)*X(n-N-1)
	Here, X is the real input time series (a vector), and N is the order of 
	denominator polynomial A(z), i.e. A = [ 1 A(2) ... A(N+1) ].

	If you leave N unspecified, LPC uses a default N = LENGTH(X)-1.

	LPC uses the autocorrelation method, also known as the maximum
	entropy method (MEM) of spectral estimation. It calls the LEVINSON 
	function.

	See also PRONY, STMCB, LEVINSON.

Cross-Reference Information

end            /tools/hpmatlab/toolbox/matlab/lang/end.m
error          /tools/hpmatlab/toolbox/matlab/lang/error.m
if             /tools/hpmatlab/toolbox/matlab/lang/if.m
length         /tools/hpmatlab/toolbox/matlab/general/length.m
levinson       /tools/hpmatlab/toolbox/signal/levinson.m
nargchk        /tools/hpmatlab/toolbox/matlab/lang/nargchk.m
nargin         /tools/hpmatlab/toolbox/matlab/elmat/nargin.m
xcorr          /tools/hpmatlab/toolbox/signal/xcorr.m