# wavPacketIndices: Wavelet packet node indices In wmtsa: Wavelet Methods for Time Series Analysis

## Description

Converts flattened wavelet packet node indices to corresponding level and oscillation indices.

## Usage

 `1` ```wavPacketIndices(x, check.basis=TRUE) ```

## Arguments

 `x` a vector of flattened wavelet packet node indices. `check.basis` a logical value. If `TRUE`, the set of specified indices is checked to ensure that the corresponding wavelet packet nodes form a legitimate basis by ensuring that (i) the union of all frequency ranges corresponding to the packet crystals span the normalized frequencies [0,1/2] and (ii) the normalized frequency ranges for all nodes do not overlap. Default: `TRUE`.

## Details

In general, wavelet packet crystals can be arranged in the so-called natural order ala W(0,0) , W(1,0), W(1,1), W(2,0), W(2,1), W(2,2), W(2,3), ... , W(J,0), ..., W(J, NJ) where J is the number of decomposition levels and NJ. By definition, W(0,0) is the original time series. A given crystal is identified in the W(j,n) form above or by a flattened index. For example, the DWPT crystal in level 2 at oscillation index 1 is identified either by j,n=2,1 or by its flattened index 4 (with zero based indexing, 4 represents the fifth crystal of the wavelet packet transform in natural order). This function converts such flattened wavelet packet indices to the W(j,n) form.

## Value

a list of `flat`, `level`, and `osc` vectors containing the flattened, decomposition level, and oscillation indices, respectively, corresponding to the input.

`wavDWPT`.
 ```1 2 3 4 5``` ```## specify a basis formed by the flattened indices ## corresponding to the wavelet packet nodes ## W(2,0:1) and W(3,4:7), but submit them in ## arbitrary order wavPacketIndices(c(14,11,12,13,4,3), check.basis=TRUE) ```