smoothDWT {MassSpecWavelet} | R Documentation

## smooth (denoise) the spectrum by DWT (Discrete Wavelet Transform)

### Description

### Usage

    smoothDWT(ms, nLevel = 6, wf = "la8", localNoiseTh = seq(1, 0, by = -0.2), localWinSize = 500, globalNoiseTh = 0.75, smoothMethod = c("soft", "hard"), method = c('dwt', 'modwt'))

### Arguments

`ms` | a vector representing the mass spectrum
`nLevel` | the level of DWT decomposition
`wf` | the name of wavelet for DWT
`localNoiseTh` | local noise level threshold
`localWinSize` | local window size for estimate local noise threshold
`globalNoiseTh` | global noise level threshold
`smoothMethod` | the method used for denoising. 'hard' means keeping the dwt coefficients higher than the threshold unchanged; "soft" means the dwt coefficients higher than the threshold were subtracted by the threshold.
`method` | 'dwt' or 'modwt' used for decomposition

### Details

### Value

return the smoothed mass spectrum with the 'detail' component of DWT as an attribute 'detail'.

### Author(s)

Pan Du

### References

### Examples

[Package MassSpecWavelet version 1.2.0 Index]