qmf: Quadrature Mirror Filter
In neuroconductor/waveslim: Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing
qmf R Documentation
Quadrature Mirror Filter
Description
Computes the quadrature mirror filter from a given filter.
Usage
qmf(g, low2high = TRUE)
Arguments
g
Filter coefficients.
low2high
Logical, default is TRUE which means a low-pass
filter is input and a high-pass filter is output. Setting low2high=F
performs the inverse.
Details
None.
Value
Quadrature mirror filter.
Author(s)
B. Whitcher
References
Any basic signal processing text.
See Also
wave.filter.
Examples
## Haar wavelet filter
g <- wave.filter("haar")$lpf
qmf(g)
neuroconductor/waveslim documentation built on Feb. 6, 2023, 6:56 a.m.
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| qmf | R Documentation |
Quadrature Mirror Filter
Description
Computes the quadrature mirror filter from a given filter.
Usage
qmf(g, low2high = TRUE)
Arguments
g |
Filter coefficients. |
low2high |
Logical, default is |
Details
None.
Value
Quadrature mirror filter.
Author(s)
B. Whitcher
References
Any basic signal processing text.
See Also
wave.filter.
Examples
## Haar wavelet filter
g <- wave.filter("haar")$lpf
qmf(g)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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