Optimal digital design of signal processing applications using hybrid architectures

Abstract

This paper presents a technique for the optimal design of signal processing system. This technique optimizes area of the design subject to throughput constraints. An Integer Linear Programming (IP) model is formed and mathematical modeling approach is used for solving the constrained optimization problem. The approach adds more sample points in the discrete design space by allowing hybrid architectures. The solution from the IP solver is passed to a code generator engine, which generates RTL Verilog code of the final design.