Sparse array design is used to help reduce computational, hardware, and power requirements compared to uniform arrays while maintaining acceptable performance. Although minimizing the Cramér-Rao bound ...

In this paper, an implementation of a neural network model using systolic arrays, programmed in Verilog Code, is presented. The neural network model is mapped in a three-layer perceptron in forward ...