Difference between revisions of "Elexsys2deernet.m"
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==Syntax== | ==Syntax== | ||
| − | [deer_trace,time_axis]=elexsys2deernet(file) | + | [deer_trace,time_axis]=elexsys2deernet(file,trunc,atrunc) |
| − | == | + | ==Parameters== |
| − | file - | + | file - filename for the .DSC and .DTA Elexsys |
| − | + | files, extension omitted | |
| + | |||
| + | trunc - optional, a vector of two integers, specifying | ||
| + | the number of points to be truncated from the | ||
| + | start and the end of the signal | ||
| + | |||
| + | atrunc - optional; if set to false, disables automatic | ||
| + | left edge truncation at the maximum | ||
==Outputs== | ==Outputs== | ||
| − | + | deer_trace - DEER trace, a column vector | |
| − | |||
| − | + | t ime_axis - time axis, a column vector (seconds) | |
| − | |||
| − | |||
| − | |||
| − | |||
==See also== | ==See also== | ||
| − | [[ | + | [[deer_lib_gen.m]], [[deernet.m]], [[dist_range.m]], [[process_using.m]], [[train_one_net.m]], [[Neural network module]], [[Built-in_experiments]] |
| − | |||
| − | ''Version 2. | + | ''Version 2.8, authors: [[Ilya Kuprov]], [[Steve Worswick]], [[Gunnar Jeschke]], [[Jake Keeley]], [[Tajwar Choudhury]]'' |
Latest revision as of 19:36, 6 June 2026
Convert Bruker Elexsys data sets into DeerNet input format. Adapted from DeerAnalysis package. The DEER signal is read from the .DTA file and the time axis is reconstructed using parameters read from the accompanying .DSC file. The DEER signal is trimmed to ensure that the maximum occurs at t=0.
Syntax
[deer_trace,time_axis]=elexsys2deernet(file,trunc,atrunc)
Parameters
file - filename for the .DSC and .DTA Elexsys
files, extension omitted
trunc - optional, a vector of two integers, specifying
the number of points to be truncated from the
start and the end of the signal
atrunc - optional; if set to false, disables automatic
left edge truncation at the maximum
Outputs
deer_trace - DEER trace, a column vector t ime_axis - time axis, a column vector (seconds)
See also
deer_lib_gen.m, deernet.m, dist_range.m, process_using.m, train_one_net.m, Neural network module, Built-in_experiments
Version 2.8, authors: Ilya Kuprov, Steve Worswick, Gunnar Jeschke, Jake Keeley, Tajwar Choudhury
