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2001

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/8693

Suboptimal filtering and nonlinear time scale transformation for the analysis of multiexponential decays

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Abstract

Multiexponential decays may contain time-constants differing in several orders of magnitudes. In such cases, uniform sampling results in very long records featuring a high degree of oversampling at the final part of the transient. Here, we analyze a nonlinear time scale transformation to reduce the total number of samples with minimum signal distortion, achieving an important reduction of the computational cost of subsequent analyses. We propose a time-varying filter whose length is optimized for minimum mean square error

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http://dx.doi.org/10.1109/19.903891

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Mostreig

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Data reduction, Filtering theory, Interference suppression, Least mean squares methods, Moving average processes, Signal sampling, Time-varying filters, Transforms, Transient analysis

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Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)

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PALACÍN ROCA, Jordi, MARCO COLÁS, Santiago and SAMITIER I MARTÍ, Josep. Suboptimal filtering and nonlinear time scale transformation for the analysis of multiexponential decays. IEEE Transactions on Instrumentation and Measurement. 2001. Vol. 50, num. 1, pags. 135-140. ISSN 0018-9456. [consulted: 11 of October of 2026]. Available at: https://hdl.handle.net/2445/8693

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