wavethresh (version 4.6.1)

accessC.wd: Get smoothed data from wavelet object (wd)

Description

The smoothed and original data from a wavelet decomposition structure (returned from wd) are packed into a single vector in that structure. This function extracts the data corresponding to a particular resolution level.

Usage

## S3 method for class 'wd':
accessC(wd, level = nlevelsWT(wd), boundary=FALSE, aspect, ...)

Arguments

wd

wavelet decomposition structure from which you wish to extract the smoothed or original data if the structure is from a wavelet decomposition, or the reconstructed data if the structure is from a wavelet reconstruction.

level

the level that you wish to extract. By default, this is the level with most detail (in the case of structures from a decomposition this is the original data, in the case of structures from a reconstruction this is the top-level reconstruction

boundary

logical; if TRUE then all of the boundary correction values will be returned as well (note: the length of the returned vector may not be a power of 2). If boundary is false, then just the coefficients will be returned

aspect

Applies a function to the coefficients before return. Supplied as a text string which gets converted to a function. For example, "Mod" for complex-valued arguments

...

any other arguments

Value

• A vector of the extracted data.

code

putC.wd

link

wd.object

RELEASE

Version 3.5.3 Copyright Guy Nason 1994

Details

The wd (wr.wd) function produces a wavelet decomposition (reconstruction) structure.

For decomposition, the top level contains the original data, and subsequent lower levels contain the successively smoothed data. So if there are $2^m$ original data points, there will be m+1 levels indexed 0,1,...

References

Mallat, S. G. (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11, 674--693.

Nason, G. P. and Silverman, B. W. (1994). The discrete wavelet transform in S. Journal of Computational and Graphical Statistics, 3, 163--191.

See Also

wr, wd, accessD, accessD.wd, filter.select, threshold, putC.wd, putD.wd.

Examples

## Get the 3rd level of smoothed data from a decomposition
dat <- rnorm(64)
accessC(wd(dat), level=3)