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Expfit: fit noisy signals with 1 to 4 exponentials

  • With guessing of initial parameters
  • With some tests
  • A place to try out a few methods
    • Cobble something together that fits 1, then 2, then 3 etc.
    • Or just chuck it in a global opt, but with sensible constraints e.g. tau1 > tau2 > tau3 etc (unless that's not sensible, cause if it finds tau1=tau2 it'd be stuck until they are both near equal and the other can move again? might be better to order after finding?)
  • Ideally with minimal dependencies (because for low number of exponentials (1--4) it shouldn't be super hard.

Name

The name may be subobtimal, as its easy to type/think expkit (like myokit, datkit), and an expkit-core already exists in pypi

Future?

Maybe stand-alone. Maybe in pcpostprocess or datkit

For now, need somewhere to play and document.

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Temporary(?) package for fitting (a small number of 1d) exponential functions to noisy data

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