A graph theoretic approach for design and synthesis of multiplierless FIR filters

We present a novel approach which can be used to obtain multiplierless implementations of finite impulse response (FIR) digital filters. The main idea is to reorder filter coefficients such that an implementation based on differential coefficients requires only a few adders. We represent this problem using a graph in which vertices represent the coefficients and edges represent the resources required when the differential coefficient corresponding to the edge is used in a computation. We also present a graph model for an implementation based on second-order coefficient differences. The optimal solution to the coefficient reordering problem is the well known problem of finding the Hamiltonian path of smallest weight in this graph. We use two approaches to find the smallest weight Hamiltonian cycle; a greedy approach, and the heuristic algorithm proposed by Lin and Kernighan. The power and potential of this approach is demonstrated by presenting results for large filters (lengths up to >300) which show that, in general, for 18-bit coefficients, the total number of adders required per coefficient is less than 2. Hence, high performance and/or low power filters can be designed and synthesized using the proposed approach