NDLI: Evolutionary Design of Digital Filter Using Multiple Pareto Fronts

Content Provider	IEEE Xplore Digital Library
Author	Huicong Wu Pang Zhou Dongmei Wei
Copyright Year	2010
Abstract	Traditionally digital filters are designed using the concept of a linear difference equation with the output response being a weighted sum of signal samples with usually floating point coefficients. Unfortunately such a model is necessarily expensive in terms of hardware as it requires many large bit additions and multiplications. In this paper, An alternative approaches to the design of digital filter has been proposed using Multi-objective evolutionary algorithms and the concept of Evolvable Hardware. In the evolution process, clustering and Pareto optimization are combined into a single evolutionary design algorithm to prevent the system from converging prematurely to a local minimum and to encourage a number of different designs that fulfill the design criteria. This approach is demonstrated using a polar coordinate based pole-zero representation. The results demonstrate that the evolutionary process is able to create designs that are competitive with those created using a conventional design process. Pareto optimization evolution design had been proved to be a stable design method.
Starting Page	236
Ending Page	239
File Size	251303
Page Count	4
File Format	PDF
ISBN	9781424472932
e-ISBN	9781424472949
DOI	10.1109/ITCS.2010.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-24
Publisher Place	Ukraine
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Evolvable Hardware Low pass filters Design methodology pareto optimisation Pareto optimization Finite impulse response filter Hardware Polynomials filter design
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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