Optical Polynomial Vector Processing
Shing Hong Lin, Thomas F. Krile, John F. Walkup · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
Polynomial processing can be applied to a number of potential applications, including general nonlinear operations using the Volterra series, eigenvalue computations via solutions to polynomial characteristic equations, pattern recognition, and polynomial neural networks[1]. Since most of these applications use vector-valued inputs (i.e., multiple-variable inputs), an optical polynomial vector processor is investigated and implemented here.