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A novel adaptive filter implementation scheme using distributed arithmetic

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2 Author(s)
Rui Guo ; Department of Electrical and Computer Engineering, Florida State University, Tallahassee, 32306, USA ; Linda S. DeBrunner

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.

Published in:

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

Date of Conference:

6-9 Nov. 2011