denoise.poisson {haarfisz} | R Documentation

## denoise.poisson

### Description

Main routine of the package. Estimates the deterministic discretised intensity of a one-dimensional Poisson process using the Haar-Fisz transformation and partial cycle spinning. Requires WaveThresh3.

### Usage

    denoise.poisson(y, meth.1 = hf.bt, cs.1 = 50, meth.2 = hf.cv, cs.2 = 50, hybrid = TRUE)

### Arguments

`y` | The vector of Poisson counts, its length must be a power of 2.
`meth.1` | Unquoted name of an S-Plus routine for denoising Gaussian contaminated vectors. Must take and return a vector of length 2^J where J is an integer. The following routines supplied in this package can be used here: `hf.u`, `hf.cv`, `hf.bt`, `hf.tiu`. The user can define and plug in his or her own routines here.
`cs.1` | The number of cycle spins to be performed with `meth.1`. Must be between 1 and N-1, where N is the length of `y`.
`meth.2` | Of the same type as `meth.1`.
`cs.2` | The number of cycle spins to be performed with `meth.2`.
`hybrid` | If set to TRUE, then the estimates are computed using both `meth.1` with `cs.1` cycle spins, and `meth.2` with `cs.2` cycle spins, and the final estimate is taken to be the average of these two. If set to `FALSE`, only `meth.1` with `cs.1` cycle spins is used to compute the final estimate.

### Value

Returns:

`est` | The estimate of the intensity which underlies y (a vector of the same length as `y`).

### Author(s)

Piotr Fryzlewicz

[Package haarfisz version 4.0-2 Index]