Started implementing Kalman filter on mean waveforms
Completed waveform estimation with Kalman filter

Code not tested thoroughly yet
Default parameter updates
Test script for Kalman filter model
Improved efficiency of waveform estimation
Adapted calculation of residuals to Kalman model
Updating binary pursuit step to Kalman model [work in progress]
Updated ignore file
Bug fix: corrected likelihood updates

Waveforms of first time bin were used in all cases
Accounting for variable spike amplitudes

Gaussian prior on distribution of amplitudes with mean 1 and definable
SD (parameter sigmaAmpl)
Changed representation of spike times

Real part: amplitude
Imaginary part: subsample shift
Bug fix: MixtureModel.fit() for init now works with one input
Added function for fitting 1d mixture of Gaussians
Changed default parameter for amplitude variability
Improved plotting of results in test script
Added function for fitting 1d mixture of t distributions
renames
Changed 1d mixture models to use common variance
Added BIC to Mixture of Gaussian
Initial testing of splitting strategy