brick.wall {waveslim} | R Documentation |
Replace Boundary Wavelet Coefficients with Missing Values
Description
Sets the first n
wavelet coefficients to NA
.
Usage
brick.wall(x, wf, method = "modwt")
dwpt.brick.wall(x, wf, n.levels, method = "modwpt")
brick.wall.2d(x, method = "modwt")
Arguments
x |
DWT/MODWT/DWPT/MODWPT object |
wf |
Character string; name of wavelet filter |
method |
Either |
n.levels |
Specifies the depth of the decomposition. This must be a number less than or equal to log(length(x),2). |
Details
The fact that observed time series are finite causes boundary issues. One
way to get around this is to simply remove any wavelet coefficient computed
involving the boundary. This is done here by replacing boundary wavelet
coefficients with NA
.
Value
Same object as x
only with some missing values.
Author(s)
B. Whitcher
References
Lindsay, R. W., D. B. Percival and D. A. Rothrock (1996). The discrete wavelet transform and the scale anlaysis of the surface properties of sea ice, IEEE Transactions on Geoscience and Remote Sensing, 34, No. 3, 771-787.
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis, Cambridge University Press.