@inproceedings{5ac288cc55174bd586f08b98dfce2ac6,
title = "Bayesian multiresolution map estimation of edge or transition point location in noisy signals",
abstract = "We present a Bayesian scheme for estimation of the location of an extremum of the first or second derivative of a noisy signal in a given interval using a scale-recursive multiresolution approach, as a means to locate edges or transition points. The estimation is carried out on the wavelet coefficients using a coarse-To-fine cross-scale search. A prior is specified for the location of the extremum at a given scale based on a location estimate at a coarser scale and a likelihood function is specified based on a rank-ordered version of the wavelet coefficients, leading to a MAP estimate at the given scale. This then becomes the location parameter for the prior at the next finer scale in a scale-recursive MAP estimation scheme. We include examples using both synthetic signals and optically measured cardiac electrical signals.",
author = "Yegim Serinaijaoglu and Brooks, {Dana H.} and Shien-Fong Lin and Wu, {T. J.}",
year = "2000",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2000.862060",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "628--631",
booktitle = "Signal Processing Theory and Methods I",
address = "United States",
note = "null ; Conference date: 05-06-2000 Through 09-06-2000",
}