# modwtmra

Multiresolution analysis based on MODWT

## Syntax

## Description

uses
the reflection boundary condition in the construction of the MRA using any of the
arguments from previous syntaxes. If you specify `mra`

= modwtmra(___,'reflection')`'reflection'`

,
`modwtmra`

assumes that the column dimension of
`w`

is even and equals twice the length of the original
signal.

You must enter the entire character vector `'reflection'`

. If you
added a wavelet named `'reflection'`

using the wavelet manager, you
must rename that wavelet prior to using this option. `'reflection'`

may be placed in any position in the input argument list after
`x`

. By default, `modwtmra`

uses periodic
extension at the boundary.

## Examples

## Input Arguments

## Output Arguments

## 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.

[2] Whitcher, Brandon, Peter Guttorp, and Donald B. Percival. “Wavelet Analysis of
Covariance with Application to Atmospheric Time Series.” *Journal of
Geophysical Research: Atmospheres* 105, no. D11 (June 16, 2000):
14941–62. https://doi.org/10.1029/2000JD900110.

[3] Mesa, Hector. “Adapted
Wavelets for Pattern Detection.” In *Progress in Pattern Recognition, Image
Analysis and Applications*, edited by Alberto Sanfeliu and Manuel Lazo
Cortés, 3773:933–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.
https://doi.org/10.1007/11578079_96.

## Extended Capabilities

## Version History

**Introduced in R2015b**