R: Smooth with Chebyshev Polynomials

smoothChebyshev {sccore} | R Documentation

## Smooth with Chebyshev Polynomials

### Description

Smooth with Chebyshev Polynomials

### Usage

    smoothChebyshev(
      lap,
      coeffs,
      signal,
      l.max,
      n.cores = 1,
      progress.chunks = 5,
      progress = (progress.chunks > 1)
    )

### Arguments

`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')

### Value

smoothed signal

### See Also

Other graph smoothing: `computeChebyshevCoeffs()`, `heatFilter()`, `smoothSignalOnGraph()`

[Package sccore version 1.0.1 Index]