A data analysis suite, incorporating the exponential
fitting routine DELP. DELP is an algorithm for obtaining a very
fast fit of a sum of exponentials. It works on the principle
that a sum of exponentials is a solution of a linear homogeneous
differential equation with constant coefficients. DELP algorithm
due to Dr J Martin, Dept Physics, Kings College, Strand, LONDON
WC2R 2LS, and implemented by David J Maconochie. Reference:
Martin, Maconochie and Knight (1994), J Neurosci Meth Jan 1994
V51 P135-146.

The following features are available

*) averaging, with automatic and manual alignment

*) very fast multi-exponential fitting

*) laser printer output with some editing facilities

*) multiple display and plotting windows

*) contents of file and files in a directory plotted automatically

*) automatic trace by trace subtraction for

i) response-control

ii) transient and leak subtraction

*) calculation of mean, minimum and maximum values

*) filters: analogue, non-causal, Savitsky Golay, Wiener

*) digital differentiation and integration

*) Fast Fourier Transforms, power spectra with averaging and
smoothing

*) Editing of data files

*) Detection of events: single channel, synaptic etc

*) Ohmic series resistance compensation

*) Transformation by log, power, multiply

*) clampex, sigav and generic files types supported (up to a
point)

*) data arrays of up to 32,000 points

(modified from the documentation)