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Suboptimal filtering and nonlinear time scale transformation for the analysis of multiexponential decays
Palacín Roca, Jordi; Marco Colás, Santiago; Samitier i Martí, Josep
Universitat de Barcelona
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
2010-05-04
Mostreig
Data reduction
Filtering theory
Interference suppression
Least mean squares methods
Moving average processes
Signal sampling
Time-varying filters
Transforms
Transient analysis
(c) IEEE, 2001
Article
IEEE
         

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