Universitat de Lleida
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.
This work was supported in part by Spanish Project CICYT TIC98-0987-C03-03
Inglés
Data reduction; Gardner transfom; Multiexponential decay
IEEE
MIECU/PN1996-1999/TIC98-0987-C03
Reproducció del document publicat a https://doi.org/10.1109/19.903891
IEEE Transactions on Instrumentation and measurement, 2001, vol. 50, p. 135-140
(c) Institute of Electrical and Electronics Engineers, 2001
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