1LinPred(3) User Contributed Perl Documentation LinPred(3)
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6 PDL::Filter::LinPred - Linear predictive filtering
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9 $x = new PDL::Filter::LinPred(
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11 LagInterval => 2,
12 LagsBehind => 2,
13 Data => $dat});
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15 ($pd,$corrslic) = $x->predict($dat);
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18 A filter by doing linear prediction: tries to predict the next value in
19 a data stream as accurately as possible. The filtered data is the
20 predicted value. The parameters are
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22 NLags Number of time lags used for prediction
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24 LagInterval
25 How many points each lag should be
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27 LagsBehind
28 If, for some strange reason, you wish to predict not the next
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30 f(t-1) and f(t-2) etc., but with LagsBehind => 2, f(t) is
31 predicted from f(t-2) and f(t-3)).
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33 Data The input data, which may contain other dimensions past the
34 first (time). The extraneous dimensions are assumed to
35 represent epochs so the data is just concatenated.
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37 AutoCovar
38 As an alternative to Data, you can just give the temporal
39 autocorrelation function.
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41 Smooth Don't do prediction or filtering but smoothing.
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43 The method predict gives a prediction for some data plus a
44 corresponding slice of the data, if evaluated in list context. This
45 slice is given so that you may, if you wish, easily plot them atop each
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48 The rest of the documentation is under lazy evaluation.
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51 Copyright (C) Tuomas J. Lukka 1997. All rights reserved. There is no
52 warranty. You are allowed to redistribute this software / documentation
53 under certain conditions. For details, see the file COPYING in the PDL
54 distribution. If this file is separated from the PDL distribution, the
55 copyright notice should be included in the file.
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59perl v5.32.0 2020-09-17 LinPred(3)