Mass spectrum processing by wavelet-based algorithms

Documentation for package ‘MassSpecWavelet’ version 1.18.0

MassSpecWavelet-package	Peak detection of mass spectrum by Wavelet transform based methods
cwt	Continuous Wavelet Transform (CWT)
exampleMS	An example mass spectrum
extendLength	Extend the length of a signal or matrix
extendNBase	Extend the row number of a matrix as the exponential of base N
getLocalMaximumCWT	Identify the local maximum of each column in 2-D CWT coefficients matrix
getRidge	Identify ridges based on the local maximum matrix
getRidgeLength	Estimate the length of the ridge
getRidgeValue	Get the CWT coefficient values corresponding to the peak ridge
identifyMajorPeaks	Identify peaks based on the ridges in 2-D CWT coefficient matrix
localMaximum	Identify local maximum within a slide window.
MassSpecWavelet	Peak detection of mass spectrum by Wavelet transform based methods
mzInd2vRange	Match m/z index to m/z value with a certain error range
mzV2indRange	Match m/z value to m/z index with a certain error range
peakDetectionCWT	The main function of peak detection by CWT based pattern matching
plotLocalMax	Plot the local maximum matrix
plotPeak	Plot the identified peaks over the spectrum
plotRidgeList	Plot the ridge list
sav.gol	Estimate the baseline by using Savitzky-Golay Algorithm
smoothDWT	smooth (denoise) the spectrum by DWT (Discrete Wavelet Transform)
tuneInPeakInfo	Tune in the peak information: peak position and peak scale