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Multiplierless Adaptive Filtering

✍ Scribed by Tamal Bose; Anand Venkatachalam; Ratchaneekorn Thamvichai

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 213 KB
Volume: 12
Category: Article
ISSN: 1051-2004
DOI: 10.1006/dspr.2001.0407

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✦ Synopsis

When digital filters are designed with power-of-2 coefficients, the multiplications can be implemented by simple shifting operations. For VLSI implementations, multiplierless filters are faster and more compact than filters with multipliers. In this paper, an algorithm for finding and updating the power-of-2 coefficients of an adaptive filter is designed. The new method uses the well-known Genetic Algorithm (GA) for this purpose. The GA is used in a unique way in order to reduce computations. Small blocks of data are used for the GA and only one new generation is produced per sample of data. This, coupled with the fact that the coefficients are powerof-2, yields a computational complexity of O(N) additions and no multiplications. The algorithm is investigated for applications in adaptive linear prediction and system identification. The results are very promising and illustrate the performance of the new algorithm.  2002 Elsevier Science (USA)

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