| heatFilter {sccore} | R Documentation |
f(x) = exp(-β |x / λ_m - a|^b)
Graph filter with the heat kernel:
f(x) = exp(-β |x / λ_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 (λ_m in the equation) |
order |
numeric Parameter b in the equation. Larger values correspond to the sharper kernel form (default=1). The values should be positive. |
offset |
numeric Mean kernel value (a in the equation), must be in [0:1] (default=0) |
beta |
numeric Parameter β in the equation. Larger values provide stronger smoothing. β=0 corresponds to no smoothing (default=30). |
smoothed values for 'x'
Other graph smoothing:
computeChebyshevCoeffs(),
smoothChebyshev(),
smoothSignalOnGraph()