A novel adaptive filter implementation scheme using distributed arithmetic
2011pp. 160–164
Citations Over TimeTop 10% of 2011 papers
Abstract
Distributed arithmetic (DA) is performed to design bit-level architectures for vector-vector multiplication with a direct application for the implementation of convolution, which is necessary for digital filters. In this work, a DA based FIR adaptive filter implementation scheme is proposed. Different from existing DA schemes, our proposed scheme uses coefficients as addresses to access a series of look-up tables (LUTs) storing sums of delayed and scaled input samples. With least mean square (LMS) adaptation, offset-binary coding (OBC) based LUT updating method is presented as well. Results show that our high performance design achieves high-speed, low computation complexity, and low area cost.
Related Papers
- → New Approach to Look-Up-Table Design and Memory-Based Realization of FIR Digital Filter(2009)107 cited
- → VLSI implementation of distributed arithmetic based block adaptive finite impulse response filter(2020)7 cited
- → FPGA Implementation of Fir Filter using Distributed Arithmetic Architecture for DWT(2014)4 cited
- → Implementation of Adaptive Filters Using Residue Number Systems(1982)
- → Optimization of Arithmetical Operators for the Enhanced Wallace Stage(2018)