nkshift - Shift data sequences
Syntax
Datas = nkshift(Data,nk)
Description
Data contains input-output data in the iddata format.
nk is a row vector with the same length as
the number of input channels in Data.
Datas is an iddata object
where the input channels in Data have been shifted
according to nk. A positive value of nk(ku) means
that input channel number ku is delayed nk(ku) samples.
nkshift supports both frequency- and time-domain
data. For frequency-domain data it multiplies with
to obtain the
same effect as shifting in the time domain. For continuous-time frequency-domain
data (Ts = 0), nk should
be interpreted as the shift in seconds.
nkshift lives in symbiosis with the InputDelay property
of idmodel:
m1 = pem(dat,4,'InputDelay',nk)
is related to
m2 = pem(nkshift(dat,nk),4);
such that m1 and m2 are
the same models, but m1 stores the delay information
and uses this information when computing the frequency response, for
example. When using m2, the delay value must be
accounted for separately when computing time and frequency responses.
Note the difference from the idss and idpoly property nk.
m3 = pem(dat,4,'nk',nk)
gives a model that itself explicitly contains a delay of nk samples.
In contrast, m1 contains a total delay of m1.nk
+ m1.InputDelay = 4.
See Also
 | neuralnet | | nlarx |  |
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