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- Uri Isserles
- 2008

In this paper we address a problem related to curve alignment with a semiparametric framework, that is without any knowledge of the shape. This problem appears in many biological applications, in which we are interested in the estimation of the elapsed duration distribution between two signals, but wish to estimate it with a possibly low signal-noise ratio,… (More)

- Thomas Trigano, Uri Isserles, Yaacov Ritov
- IEEE Transactions on Signal Processing
- 2011

We observe a large number of signals, all of them with identical, although unknown, shape, but with a different random shift. The objective is to estimate the individual time shifts and their distribution. Such an objective appears in several biological applications like neuroscience or ECG signal processing, in which the estimation of the distribution of… (More)

- Thomas Trigano, Uri Isserles, Yaacov Ritov
- 2008 16th European Signal Processing Conference
- 2008

We address the problem of curve alignment with a semiparametric framework, that is without any knowledge of the shape. This study stems from a biological issue, in which we are interested in the estimation of the average heart cycle signal, but wish to estimate it without any knowledge of the pulse shape, which may differ from one patient to another. We… (More)

Suppose we observe a large number of curves, all with identical, although unknown, shape, but with a different random shift. The objective is to estimate the individual time shifts and their distribution. Such an objective appears in several biological applications, in which the interest is in the estimation of the distribution of the elapsed time between… (More)

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