Description Usage Arguments Value Examples
Uses the functions wavDWT
and
reconstruct
from the wmtsa
package to find the
transformation matrix of the given wavelet basis type. Each column of the
matrix is a wavelet basis function.
1  WaveletBasis(N, train = NULL, wavelet = "Haar")

N 
number of wavelet basis functions to include in matrix. Note that N must be a power of 2, otherwise the matrix will include NA's. The reason for this has to do with how the wavelet basis is defined. 
train 
indices corresponding to which rows of the matrix to keep. Default is to keep all rows. 
wavelet 
the type of wavelet basis to use. See

A P x N discrete wavelet transform matrix, where P is equal to the
length of train
and N is the number of basis. If train
is NULL
then P equals N.
1 2 3 4 5 6  # Find first 8 basis functions of the Haar wavelet type
w.Haar < WaveletBasis(8)
# Find first 8 basis functions of the d4 wavelet type, keeping the first
# half of the rows
w.d4 < WaveletBasis(8, 1:4, wavelet='d4')

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