Description Usage Arguments Value Note Author(s) References See Also

This function calculates the inner product matrix of discrete autocorrelation wavelets (1D).

1 |

`J` |
The level to which the decomposition must extend. This number should be a positive integer. |

`filter.number` |
The index of the wavelet used to compute the correction m atrix A. |

`family` |
The wavelet family used to compute A. |

`tol` |
In the brute force computation for Daubechies compactly supported wavelets many inner product computations are performed. This tolerance discounts any results which are smaller than tol which effectively defines how long the inner product/autocorrelation products are. |

`verbose` |
Logical variable, if set to |

A matrix of order (-J)x(-J) containing the inner product matrix of the discrete non-decimated autocorrelation matrices.

An equivalent function `ipndacw`

already exists in WaveThresh. This function is added to help create a consistent naming convention
across both the one- and two-dimensional inner product matrix of ac wavelets.

Idris Eckley

Nason, G.P., von Sachs, R. and Kroisandt, G. (2000) Wavelet processes and adaptive estimation of the evolutionary wavelet spectrum. J. R. Statist. Soc. Series B, 62, 271-292.

Eckley, I.A. and Nason, G.P. (2011). LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R, Journal of Statistical Software, 43(3), 1-23. URL http://www.jstatsoft.org/v43/i03/.

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