filters
DWT filter bank filters
Syntax
Description
Examples
DWT Filter Bank Filters
Obtain the lowpass and highpass filters for the order-4 symlet.
fb = dwtfilterbank('Wavelet','sym4'); [Lo,Hi] = filters(fb)
Lo = 8×2
-0.0758 0.0322
-0.0296 -0.0126
0.4976 -0.0992
0.8037 0.2979
0.2979 0.8037
-0.0992 0.4976
-0.0126 -0.0296
0.0322 -0.0758
Hi = 8×2
-0.0322 -0.0758
-0.0126 0.0296
0.0992 0.4976
0.2979 -0.8037
-0.8037 0.2979
0.4976 0.0992
0.0296 -0.0126
-0.0758 -0.0322
Confirm the filter bank is orthogonal.
isOrthogonal(fb)
ans = logical
1
Input Arguments
fb
— Discrete wavelet transform filter bank
dwtfilterbank
object
Discrete wavelet transform (DWT) filter bank, specified as a dwtfilterbank
object.
Output Arguments
Lo
— Lowpass (scaling) filters
real-valued matrix
Lowpass (scaling) filters for the DWT filter bank, returned as an
L-by-2 matrix. L is an even
positive integer. The first column of Lo
is the
analysis filter, and the second column is the synthesis filter.
For orthogonal wavelets, the lowpass synthesis and lowpass analysis filters are time-reversed versions of each other.
Hi
— Highpass (wavelet) filters
real-valued matrix
Highpass (wavelet) filters for the DWT filter bank, returned as an
L-by-2 matrix. L is an even
positive integer. The first column of Hi
is the
analysis filter, and the second column is the synthesis filter.
For orthogonal wavelets, the highpass synthesis and highpass analysis filters are time-reversed versions of each other.
Version History
Introduced in R2018a
See Also
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