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