getLocalMaximumCWT {MassSpecWavelet} | R Documentation

## Identify the local maximum of each column in 2-D CWT coefficients matrix

### Description

Identify the local maximum of each column in 2-D CWT coefficients matrix by using a slide window. The size of slide window linearly changes from the coarse scale (bigger window size) to detail scale. The scale of CWT increases with the column index.

### Usage

    getLocalMaximumCWT(wCoefs, minWinSize= 5, amp.Th = 0)

### Arguments

`wCoefs` | 2-D CWT coefficients, each column corresponding to CWT coefficient at one scale. The column name is the scale.
`minWinSize` | The minimum slide window size used.
`amp.Th` | The minimum peak amplitude.

### Value

return a matrix with same dimension as CWT coefficient matrix, wCoefs. The local maxima are marked as 1, others are 0.

### Author(s)

Pan Du

### See Also

`localMaximum`

### Examples

            data(exampleMS)
            scales <- seq(1, 64, 3)
            wCoefs <- cwt(exampleMS[5000:11000], scales=scales, wavelet='mexh')

            localMax <- getLocalMaximumCWT(wCoefs)
            plotLocalMax(localMax)

[Package MassSpecWavelet version 1.2.0 Index]