haarfisz-package | R Documentation |
Package to denoise Poisson distributed sequence where underlying intensity is not constant. Uses the multiscale variance-stabilization method called the Haar-Fisz transform. Contains functions to carry out the foward and inverse Haar-Fisz transform and denoising on near-Gaussian sequences. Can also carry out cycle-spinning.
Package to denoise Poisson distributed sequence where
underlying intensity is not constant. Uses the multiscale
variance-stabilization method called the Haar-Fisz transform.
Contains functions to carry out the foward and inverse
Haar-Fisz transform and denoising on near-Gaussian sequences.
Can also carry out cycle-spinning.
See main routine denoise.poisson
Piotr Fryzlewicz>
Fryzlewicz, P. (2003) Wavelet Techniques for Time Series and Poisson Data. PhD Thesis, University of Bristol, Bristol, UK https://www.ma.imperial.ac.uk/~gnason/Research/MAPZFthesis.ps.gz
Fryzlewicz, P. and Nason, G.P. (2004) A Haar-Fisz algorithm for Poisson intensity estimation. Journal of Computational and Graphical Statistics, 13, 621-638. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/106186004X2697")}
Nason, G.P. (2008) Wavelet Methods in Statistics with R. Springer: New York (Section 6.4) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-0-387-75961-6")}
denoise.poisson
, hft
, hft.inv
#
#
# Main Poisson denoising function is denoise.poisson
#
# Forward Haar-Fisz transform is hft
#
# Inverse Haar-Fisz transform is hft.inv
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