PDL::LinPred man page on aLinux

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LinPred(3)	      User Contributed Perl Documentation	    LinPred(3)

NAME
       PDL::Filter::LinPred - Linear predictive filtering

SYNOPSIS
	       $a = new PDL::Filter::LinPred(
		       {NLags => 10,
			LagInterval => 2,
			LagsBehind => 2,
			Data => $dat});

	       ($pd,$corrslic) = $a->predict($dat);

DESCRIPTION
       A filter by doing linear prediction: tries to predict the next value in
       a data stream as accurately as possible. The filtered data is the
       predicted value. The parameters are

       NLags   Number of time lags used for prediction

       LagInterval
	       How many points each lag should be

       LagsBehind
	       If, for some strange reason, you wish to predict not the next
	       but the one after that (i.e. usually f(t) is predicted from
	       f(t-1) and f(t-2) etc., but with LagsBehind => 2, f(t) is
	       predicted from f(t-2) and f(t-3)).

       Data    The input data, which may contain other dimensions past the
	       first (time).  The extraneous dimensions are assumed to
	       represent epochs so the data is just concatenated.

       AutoCovar
	       As an alternative to Data, you can just give the temporal
	       autocorrelation function.

       Smooth  Don't do prediction or filtering but smoothing.

       The method predict gives a prediction for some data plus a
       corresponding slice of the data, if evaluated in list context. This
       slice is given so that you may, if you wish, easily plot them atop each
       other.

       The rest of the documentation is under lazy evaluation.

AUTHOR
       Copyright (C) Tuomas J. Lukka 1997.  All rights reserved. There is no
       warranty. You are allowed to redistribute this software / documentation
       under certain conditions. For details, see the file COPYING in the PDL
       distribution. If this file is separated from the PDL distribution, the
       copyright notice should be included in the file.

perl v5.10.0			  2000-05-23			    LinPred(3)
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