heatFilter {sccore}

Graph filter with the heat kernel: f(x) = exp(-\beta |x / \lambda_m - a|^b)

Description

Graph filter with the heat kernel: f(x) = exp(-\beta |x / \lambda_m - a|^b)

Usage

heatFilter(x, l.max, order = 1, offset = 0, beta = 30)

Arguments

x

numeric Values to be filtered. Normally, these are graph laplacian engenvalues.

l.max

numeric Maximum eigenvalue on the graph (\lambda_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 \beta in the equation. Larger values provide stronger smoothing. \beta=0 corresponds to no smoothing (default=30).

Value

smoothed values for 'x'

See Also

Other graph smoothing: computeChebyshevCoeffs(), smoothChebyshev(), smoothSignalOnGraph()