# mdwtrec

Multisignal 1-D wavelet reconstruction

## Syntax

## Description

returns the reconstructed approximation coefficients. `a`

= mdwtrec(`dec`

,"a")`mdwtrec(dec,"a")`

is equivalent to `mdwtrec(dec,"a",dec.level)`

.

returns a matrix containing the sum of all the details, so that `d`

= mdwtrec(`dec`

,"d")`x`

=
`a`

+ `d`

.

returns a matrix containing the extracted approximation coefficients.
`ca`

= mdwtrec(`dec`

,"ca")`mdwtrec(dec,"ca")`

is equivalent to
`mdwtrec(dec,"ca",dec.level)`

.

## Examples

## Input Arguments

## Output Arguments

## References

[1] Daubechies, I. *Ten
Lectures on Wavelets*. CBMS-NSF Regional Conference Series in Applied
Mathematics. Philadelphia, PA: Society for Industrial and Applied Mathematics,
1992.

[2] Mallat, S.G. “A Theory for
Multiresolution Signal Decomposition: The Wavelet Representation.” *IEEE
Transactions on Pattern Analysis and Machine Intelligence* 11, no. 7 (July 1989):
674–93. https://doi.org/10.1109/34.192463.

[3] Meyer, Y. *Wavelets and
Operators*. Translated by D. H. Salinger. Cambridge, UK: Cambridge University
Press, 1995.

[4] 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 R2007a**