# wnoisest

Estimate noise of 1-D wavelet coefficients

## Description

returns estimates of the detail coefficients' standard deviation for levels
specified in `stdc`

= wnoisest(`c`

,`l`

,`s`

)`s`

. [`c`

,`l`

]
is a multilevel wavelet decomposition structure and is the output of `wavedec`

.

The estimator used is Median Absolute Deviation / 0.6745, well suited for
zero-mean Gaussian white noise in the denoising one-dimensional model (see `thselect`

for more
information).

## Examples

## Input Arguments

## Output Arguments

## References

[1] Donoho, David L, and Iain M
Johnstone. “Ideal Spatial Adaptation by Wavelet Shrinkage.”
*Biometrika* 81, no. 3 (September 1, 1994): 425–55.
https://doi.org/10.1093/biomet/81.3.425.

[2] Donoho, David L., and Iain M.
Johnstone. “Adapting to Unknown Smoothness via Wavelet Shrinkage.” *Journal of
the American Statistical Association* 90, no. 432 (December 1995):
1200–1224. https://doi.org/10.1080/01621459.1995.10476626.

## Extended Capabilities

## Version History

**Introduced before R2006a**