Difference between revisions of "Dist vet.m"
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Returns an untrained distance distribution DEERNet for processing sparsely sampled data. | Returns an untrained distance distribution DEERNet for processing sparsely sampled data. | ||
Revision as of 20:54, 15 June 2021
Returns an untrained distance distribution DEERNet for processing sparsely sampled data.
Syntax
layers=dist_vet(npt_out,npt_acq)
Arguments
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 2.6, authors: Ilya Kuprov, Jake Keeley
