heatFilter | R Documentation |
f(x) = exp(-\beta |x / \lambda_m - a|^b)
Graph filter with the heat kernel: f(x) = exp(-\beta |x / \lambda_m - a|^b)
heatFilter(x, l.max, order = 1, offset = 0, beta = 30)
x |
numeric Values to be filtered. Normally, these are graph laplacian engenvalues. |
l.max |
numeric Maximum eigenvalue on the graph ( |
order |
numeric Parameter |
offset |
numeric Mean kernel value ( |
beta |
numeric Parameter |
smoothed values for 'x'
Other graph smoothing:
computeChebyshevCoeffs()
,
smoothChebyshev()
,
smoothSignalOnGraph()
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