kernsm {aws} | R Documentation |
Performs Kernel smoothing on a 1D, 2D or 3D grid by fft
kernsm(y, h = 1, kern = "Gaussian", m = 0, nsector = 1, sector = 1, symmetric = FALSE, unit = c("SD","FWHM"))
y |
Object of class |
h |
bandwidth |
kern |
Determines the kernel function.
Object of class |
m |
Object of class |
nsector |
number of sectors to use. Positive weights are restricted to the sector
selected by |
sector |
Object of class |
symmetric |
Object of class |
unit |
How should the bandwidth be interpreted in case of a Gaussian kernel.
For |
In case of any(m>0)
derivative kernels are generated and applied for the
corresponding coordinate directions. If nsector>1
the support of the kernel
is restricted to a circular sector determined by sector
.
An object of class kernsm
Joerg Polzehl polzehl@wias-berlin.de
J. Polzehl, K. Papafitsoros, K. Tabelow (2020). Patch-Wise Adaptive Weights Smoothing in R, Journal of Statistical Software, 95(6), 1-27. doi:10.18637/jss.v095.i06 (URL: http://doi.org/10.18637/jss.v095.i06).
V. Katkovnik, K. Egiazarian and J. Astola, Local Approximation Techniques in Signal And Image Processing, SPIE Society of Photo-Optical Instrumentation Engin., 2006, PM157
kernsm-class
, ICIsmooth
,ICIcombined