Binary space-integrating acousto-optic processor for vector-matrix multiplication

A binary acousto-optic processor for high accuracy vector-matrix multiplication is described. The processor's operation is based on the formation of inner products. Digitsl products are formed via analog convolution. A spherical lens is used to form both the necessary convolution integral as well as the summation of different digital products. The resulting system requires a single detector for inner product detection. The processor's performance and characteristics are discussed along with possible solutions for performance improvements.