Difference between revisions of "Dist vet.m"
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layers=dist_vet(npt_out,npt_acq) | layers=dist_vet(npt_out,npt_acq) | ||
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npt_out - the dimension of the output vector | npt_out - the dimension of the output vector | ||
Revision as of 18:48, 5 June 2026
Returns an untrained distance distribution DEERNet for processing sparsely sampled data.
Syntax
layers=dist_vet(npt_out,npt_acq)
Parameters
npt_out - the dimension of the output vector
npt_acq - the number of points acquired in the
sparsely sampled DEER trace; the input
vector dimension will be five times
this number to accommodate the lego
Outputs
layers - an untrained network layout
See also
Neural network module, deernet.m
Version 2.8, authors: Ilya Kuprov, Jake Keeley
