# Signal Multiresolution Analyzer

## Description

The **Signal Multiresolution Analyzer** app is an interactive tool for
visualizing multilevel wavelet- and data adaptive-based decompositions of real-valued 1-D
signals and comparing results. The app supports single- and double-precision data. With the
app, you can:

Access all the real-valued 1-D signals in your MATLAB

^{®}workspace.Generate decompositions using fixed-bandwidth and data-adaptive multiresolution analysis (MRA) methods:

Fixed-bandwidth: Maximal overlap discrete wavelet transform (MODWT) (default), and tunable Q-factor wavelet transform (TQWT)

Data-adaptive: Empirical mode decomposition (EMD), empirical wavelet transform (EWT), and variational mode decomposition (VMD)

Adjust default parameters, and visualize and compare multiple decompositions.

Choose decomposition levels to include in the signal reconstruction.

Obtain frequency ranges of the decomposition levels.

Determine the relative energy of the signal across levels.

Export reconstructed signals and decompositions to your workspace.

Recreate decompositions in your workspace by generating MATLAB scripts.

## Open the Signal Multiresolution Analyzer App

MATLAB Toolstrip: On the

**Apps**tab, under**Signal Processing and Communications**, click the app icon.MATLAB command prompt: Enter

`signalMultiresolutionAnalyzer`

.

## Examples

### Related Examples

## Parameters

## Programmatic Use

## Tips

To decompose more than one signal simultaneously, run multiple instances of the

**Signal Multiresolution Analyzer**app.For the MODWT and TQWT decomposition methods, the script generated by the

**Signal Multiresolution Analyzer**app supports`gpuArray`

(Parallel Computing Toolbox) inputs.

## Algorithms

## References

[1] Percival, Donald B., and Andrew T.
Walden. *Wavelet Methods for Time Series Analysis*. Cambridge Series in
Statistical and Probabilistic Mathematics. Cambridge ; New York: Cambridge University Press,
2000.

## Version History

**Introduced in R2018b**