Marc Tomczak

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This paper presents a non-iterative, fast, and almost automated time-data analysis method for NMR spectroscopy, based on a new adaptive implementation of high resolution methods used in spectral subbands. It is intended to avoid the choice of the decimation factor (or the width of the spectral windows) which, in the case of a uniform decomposition, strongly(More)
We present a study of mode variance statistics for three SVD-based estimation methods in the case of a single-mode damped exponential. The methods considered are namely Kumaresan-Tufts, matrix pencil and Kung's direct data approximation. Through first-order perturbation analysis, we derive closed-form expressions of the variance of the complex mode,(More)
A new water mass analysis technique is used to analyse the BATS oceanographic data set in the Sargasso Sea of 1988–1998 for changes in Labrador Sea Water (LSW) properties. The technique is based on a sequential quadratic programming method and requires careful definition of constraints to produce reliable results. Variations in LSW temperature and salinity(More)
We propose an adaptive subband decomposition scheme designed to estimate the parameters of two-dimensional (2D) exponential signals from large data sets. The principle of the method consists to perform recursive 2D decimation and estimation steps. At each resulting subband, a stopping rule is evaluated to decide whether the decomposition should be continued(More)
This article presents a statistical analysis of the Matrix Pencil method for estimating the mode and the amplitude of a single damped complex exponential. This study is based on a perturbation analysis of the mode and the amplitude, assuming a high signal-to-noise ratio. Closed-form expressions of the mean and variance of these perturbations are derived. It(More)
Detecting changes in Labrador Sea Water through a water mass analysis of BATS data A. Henry-Edwards and M. Tomczak School of Chemistry Physics and Earth Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide SA 5001, Australia Received: 24 June 2005 – Accepted: 15 August 2005 – Published: 30 August 2005 Correspondence to: M. Tomczak(More)
Remote detection of water property changes from a time series of oceanographic data A. Henry-Edwards and M. Tomczak School of Chemistry Physics and Earth Sciences, Flinders University of South Australia, GPO Box 2100, Adelaide SA 5001, Australia Received: 27 June 2005 – Accepted: 16 August 2005 – Published: 30 August 2005 Correspondence to: M. Tomczak(More)
In this paper, a parametric spectral estimation method using an adapted filter bank is presented. The subband decomposition is performed classically through filtering and decimation stages. The decision about stopping or carrying on the decomposition of a given node is taken according to a new stopping rule. The latter uses a measure of whiteness of the(More)
Several methods have been developed for estimating the parameters of damped and undamped exponentials in noise, but the performances of such techniques are generally known only in the undamped case. In this paper, we consider two estimation methods: the Kumaresan-Tufts method and the Matrix Pencil approach, and we obtain their estimation performances in the(More)