Difference between revisions of "Dist vet.m"

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''Version 2.6, authors: [[Ilya Kuprov]], [[Jake Keeley]]''
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''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]]''

Revision as of 10:19, 29 July 2023

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 2.8, authors: Ilya Kuprov, Jake Keeley