Model of a neural image formation scheme for the FPA with microscanning
The article is a development of the gradient approach with a neural circuit as an imaging device. The OLS-model provides an assessment of processing options based on a comparison of the gradients of signals and matrixes of unknowns, corresponding to the images being formed. The model includes a comparison of signal gradients and unknowns, a system of linear equations for unknowns, a neural scheme corresponding to the system, and a traditional solution of the system for the criterion for stopping the neural scheme.