Smooth with Chebyshev Polynomials
smoothChebyshev(
lap,
coeffs,
signal,
l.max,
n.cores = 1,
progress.chunks = 5,
progress = (progress.chunks > 1)
)
graph laplacian
numeric vector Chebyshev coefficients for a filter
Matrix or vector Signal to smooth
numeric maximal eigenvalue of the graph
numeric Number of cores for parallel run (default=1)
numeric Number of chunks per core for estimating progress (default=5). Large values are not suggested, as it may bring overhead.
boolean Flag on whether progress must be shown (default=TRUE, i.e. 'progress.chunks > 1')
smoothed signal
Other graph smoothing:
computeChebyshevCoeffs()
,
heatFilter()
,
smoothSignalOnGraph()