Parameter estimation of decaying exponentials by projection on the parameter space

Karrakchou, M.; Vidal, José Ernesto; Vesin, Jean‐Marc; Feihl, F.; Perret, C; Kunt, M.

doi:10.1016/0165-1684(92)90115-d

Cited by 6 publications

(1 citation statement)

References 10 publications

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“…For instance, it is important in the study of nuclear magnetic resonance (NMR) in medical diagnosis (Cohn-Sfetcu et al, 1975)), relaxation kinetics of cooperative conformational changes in biopolymers , solving system identification problems in control and communication engineering (Prost and Guotte, 1982), fluorescence decay of proteins (Karrakchou et al, 1992), fluorescence decay analysis (Lakowicz, 1999). Several research work have been reported on the analysis of multicomponent transient signals following the pioneer work of Prony in 1795 (Prony, 1975) and Gardner et al in 1959(Gardner, 1979.…”

Section: Introductionmentioning

confidence: 99%

Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals

Salami¹,

Tijani²,

Jibia³

et al. 2012

MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1

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Section: Introductionmentioning

confidence: 99%

Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals

Salami¹,

Tijani²,

Jibia³

et al. 2012

MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1

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Multiscale analysis for singularity detection in pulmonary microvascular pressure transients

Karrakchou

Kunt

1995

Ann Biomed Eng

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This paper addresses the problem of pulmonary microvascular pressure estimation. The "why" and "how" of multiscale approaches in the context of singularity detection are discussed. From a linear viewpoint, the scalogram technique and the multiresolution representation for singularity detection are discussed in general under the wavelet framework. A technique as well as a criterion for the segmentation and the extraction of the region of interest or the optimal scale is proposed. A new nonlinear multiscale technique for singularity detection is also proposed. This multiscale representation is based on rank order filters and on mathematical morphology operators in particular. A scaling parameter is introduced for such operators as in the linear continuous wavelet transform leading to what we call morpholograms. Experiments performed on pulmonary artery pressure transients illustrate how the proposed technique can give a synopsis of the signal characteristics through the scales.

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Parameter estimation in superposition of decaying exponentials

Chang

Gzyl

1998

Applied Mathematics and Computation

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Parameter estimation of decaying exponentials by projection on the parameter space

Cited by 6 publications

References 10 publications

Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals

Matlab-Based Algorithm for Real Time Analysis of Multiexponential Transient Signals

Multiscale analysis for singularity detection in pulmonary microvascular pressure transients

Parameter estimation in superposition of decaying exponentials

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