lanczos_hp: Create a high-pass Lanczos filter
In jrevenaugh/TSAUMN: Time Series Analysis Tools Used in ESCI5201 at the University of Minnesota
Description
Usage
Arguments
Value
Examples
Description
Compute coefficients of a high-pass Lanczos filter
Usage
1
lanczos_hp(n, high)
Arguments
n
length of filter; must be odd
high
cutoff frequency of the filter (Nyquist = 0.5)
Value
non-negative time filter coefficients (filter is symmetric about 0).
Examples
1
2
f <- lanczos_hp( 7, 0.4 )
print( f )
jrevenaugh/TSAUMN documentation built on Nov. 8, 2019, 2:20 p.m.
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Description Usage Arguments Value Examples
Description
Compute coefficients of a high-pass Lanczos filter
Usage
1 | lanczos_hp(n, high)
|
Arguments
n |
length of filter; must be odd |
high |
cutoff frequency of the filter (Nyquist = 0.5) |
Value
non-negative time filter coefficients (filter is symmetric about 0).
Examples
1 2 | f <- lanczos_hp( 7, 0.4 )
print( f )
|
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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