# mw: Dyadic Wavelet Transform In Rwave: Time-Frequency Analysis of 1-D Signals

## Description

Dyadic wavelet transform, with Mallat's wavelet. The reconstructed signal preserves locations and values at extrema.

## Usage

 `1` ```mw(inputdata, maxresoln, filtername="Gaussian1", scale=FALSE, plot=TRUE) ```

## Arguments

 `inputdata` either a text file or an R object containing data. `maxresoln` number of decomposition scales. `filtername` name of filter (either Gaussian1 for Mallat and Zhong's wavelet or Haar wavelet). `scale` when set, the wavelet transform at each scale is plotted with the same scale. `plot` indicate if the wavelet transform at each scale will be plotted.

## Details

The decomposition goes from resolution 1 to the given maximum resolution.

## Value

Structure containing

 `original` original signal. `Wf` dyadic wavelet transform of signal. `Sf` multiresolution of signal. `maxresoln` number of decomposition scales. `np` size of signal.

## References

See discussions in the text of “Practical Time-Frequency Analysis”.

## See Also

`dwinverse`, `mrecons`, `ext`.

Rwave documentation built on May 2, 2019, 9:15 a.m.
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