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

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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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IEEE Transactions on Instrumentation and Measurement, 2001, vol. 50, núm. 1, p. 135-140.

# metadata.dc.source[].value
Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)

# metadata.dc.title[].value
Suboptimal filtering and nonlinear time scale transformation for the analysis of multiexponential decays