High Throughput Parallelized Realization Of Adaptive FIR Filter Based On Distributive Arithmetic Using Offset Binary Coding

The paper explores the applications of Offset Binary Coding (OBC) based representation of bits in the field of adaptive filtering. It proposes two designs incorporating OBC. In light of earlier works, we used delayed Least Mean Square (LMS) algorithm to implement a three-stage pipelined architecture with an adaptation delay of two. The proposed designs implement Distributed Arithmetic (DA) technique using CSA for inner product computation, instead of the conventional shift accumulation to reduce the sampling period. Developing on the existing LUT less configuration, the proposed design reduces the number of registers required by half. Compared to existing designs the proposed designs also offer higher throughput with less Area Delay Product (ADP).