%*%                     Frequency-wise or component-wise matrix
                        product.
%c%                     Convolution of a process X with an operator A.
%x%                     Frequency-wise or component-wise Kronecker
                        product.
MSE                     Compute a mean square error between X and Y
cov.structure           Estimate the covariance structure within a
                        given window k \in [-q,q]
dpca.inverse            Retrieve a process from given scores
dpca.scores             Compute scores of dynamic principal components
dprcomp                 Compute DPCA filter coefficients
filter.process          Generate a linear process from
fourier.transform       Compute fourier transform of given series of
                        operators
freqdom                 Create a frequency domain operator
freqdom.eigen           Eigendevompose a frequency domain operator at
                        each frequency
freqdom.inverse         Compute an inverse of a given Frequency Domain
                        Operator
freqdom.kronecker       Compute a kronecker product of two spectral
                        densities
freqdom.product         Compute a product of two spectral densities
freqdom.ratio           Compute a ratio of two spectral densities
freqdom.transpose       Transpose pointwise timedom or freqdom object
invfourier              Inverse Fourier transform for operators
is.freqdom              Check if a given object is a frequency domain
                        matrix
is.timedom              Check if a given object is a time domain object
lagged.cov              Compute cross covariance with a given lag
lagreg.est              Estimate the optimal dimension in linear
                        regression problem
linproc                 Generate a linear process from
norm.spec               Compute a spectral norm of given matrix P
plot.freqdom            Plot a frequency domain operator
pseudoinverse           Invert first K eigendirections of the matrix.
rar                     Simulate a multivariate autoregressive time
                        series
rbb                     Generate brownian bridges
rbm                     Generate brownian motions
reg.dim.est             Estimate the optimal dimension in linear
                        regression problem
reg.est                 Estimate the optimal dimension in linear
                        regression problem
reglag.significance     Test significance of coefficients in linear
                        model estimator
rma                     Moving avarege process
speclagreg              Estimate regresson operators in a lagged linear
                        model
speclagreg.K            Determine the subspace dimension for inversion
                        in 'speclagreg'
spectral.density        Compute the cross spectral density of processes
                        X and Y
timedom                 Creates a time domain operator
timedom.norms           Compute operator norms of elements of a filter
timedom.trunc           Truncates a time domain object to specified
                        lags
