This function performs the discrete wavelet transform (DWT) according to
Mallat's pyramidal algorithm (Mallat, 1989).

Functional denoising and functional ANOVA through wavelet-domain
Markov groves. Fore more details see: Ma L. and Soriano J. (2018)
Efficient functional ANOVA through wavelet-domain Markov groves.
<arXiv:1602.03990v2 [stat.ME]>.

Li Ma

grove

Wavelet Functional ANOVA Through Markov Groves

DWT function

<dl><dt>data</dt>
<dd>A matrix of data, where each row is an observation.
The number of columns must be a power of two.</dd>
<dt>filter.number</dt>
<dd>The smoothness of the wavelet to use in the
decomposition.</dd>
<dt>family</dt>
<dd>The family of wavelets. The two most common options
are <code>DaubExPhase</code> and <code>DaubLeAsymm</code>.</dd></dl>

Arguments

Discrete wavelet transform — DWT

<dl>

<dt>data</dt>
<dd>A matrix of data, where each row is an observation.
The number of columns must be a power of two.</dd>


<dt>filter.number</dt>
<dd>The smoothness of the wavelet to use in the
decomposition.</dd>


<dt>family</dt>
<dd>The family of wavelets. The two most common options
are <code>DaubExPhase</code> and <code>DaubLeAsymm</code>.</dd>

</dl>

DWT: Discrete wavelet transform

Description

Usage

Value

Arguments

Details

Examples