fts.timedom {freqdom.fda} | R Documentation |
Object of class fts.timedom
Description
Creates an object of class fts.timedom
. This object corresponds to a sequence of linear operators.
Usage
fts.timedom(A, basisX, basisY = basisX)
Arguments
A |
an object of class timedom. |
basisX |
an object of class |
basisY |
an object of class |
Details
This class is used to describe a functional linear filter, i.e. a sequence of linear operators, each of which corresponds to a certain lag.
Formally we consider an object of class timedom
and add some basis functions. Depending on the context, we have different interpretations for the new object.
(I) In order to define operators which maps between two functions spaces, the we
interpret A$operators
as coefficients in the basis function expansion of the
kernel of some finite rank operators
\mathcal{A}_k:\mathrm{span}(\code{basisY})\to\mathrm{span}(\code{basisX}).
The kernels are a_k(u,v)=\boldsymbol{b}_1^\prime(u)\, A_k\, \boldsymbol{b}_2(v)
, where \boldsymbol{b_1}(u)=(b_{11}(u),\ldots, b_{1d_1}(u))^\prime
and \boldsymbol{b_2}(u)=(b_{21}(u),\ldots, b_{2d_1}(u))^\prime
are the basis functions provided by the arguments basisX and basisY, respectively. Moreover, we consider lags \ell_1<\ell_2<\cdots<\ell_K
. The object this function creates corresponds to the mapping \ell_k \mapsto a_k(u,v)
.
(II) We may ignore basisX, and represent the linear mapping
\mathcal{A}_k:\mathrm{span}(\code{basisY})\to R^{d_1},
by considering a_k(v):=A_k\,\boldsymbol{b}_2(v)
and \mathcal{A}_k(x)=\int a_k(v)x(v)dv
.
(III) We may ignore basisY, and represent the linear mapping
\mathcal{A}_k: R^{d_1}\to\mathrm{span}(\code{basisX}),
by considering a_k(u):=\boldsymbol{b}_1^\prime(u)A_k
and \mathcal{A}_k(y)=a_k(u)y
.
Value
Returns an object of class fts.freqdom
. An object of class fts.freqdom
is a list containing the following components:
-
operators
\quad
returns the arrayA$operators
. -
basisX
\quad
returns basisX as given in the argument. -
basisY
\quad
returns basisY as given in the argument. -
lags
\quad
returnsA$lags
.
See Also
The multivariate equivalent in the freqdom
package: timedom