Memory-Based Realization of FIR Digital Filter by Look-Up-Table Optimization

摘要

Finite impulse response (FIR) digital filter is widely used in signal processing and image processing applications.Distributed arithmetic (DA)-based computation is popular for its potential for efficient memory-based implementation of finite impulse response (FIR) filter where the filter outputs are computed as inner-product of input-sample vectors and filter-coefficient vector. In this paper, however ,we show that the look-up-table(LUT)-multiplier-based approach, where the memory elements store all the possible values of products of the filter coefficients could be an area-efficient alternative to DA-based design of FIR filter with the same throughput of implementation