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Hardware based genetic evolution of self-adaptive arbitrary response FIR filters
Published in
2011
Volume: 11
   
Issue: 1
Pages: 842 - 854
Abstract
This work presents a hardware implementation of an FIR filter that is self-adaptive; that responds to arbitrary frequency response landscapes; that has built-in coefficient error tolerance capabilities; and that has a minimal adaptation latency. This hardware design is based on a heuristic genetic algorithm. Experimental results show that the proposed design is more efficient than non-evolutionary designs even for arbitrary response filters. As a byproduct, the paper also presents a novel flow for the complete hardware design of what is termed as an Evolutionary System on Chip (ESoC). With the inclusion of an evolutionary process, the ESoC is a new paradigm in modern System on Chip (SoC) designs. The ESoC methodology could be a very useful structured FPGA/ASIC implementation alternative in many practical applications of FIR filters. © 2010 Elsevier B.V. All rights reserved.
About the journal
JournalApplied Soft Computing Journal
ISSN15684946
Open AccessNo
Concepts (16)
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    ARBITRARY FREQUENCIES
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    DIGITAL ADAPTIVE FILTERS
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    FINITE IMPULSE RESPONSE FILTER
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    INTRINSIC EVOLUTION
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    System on chips
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    Adaptive filtering
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    Adaptive filters
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    Biology
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    Design
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    ELECTRIC FILTERS
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    Frequency response
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    Genetic algorithms
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    Hardware
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    Impulse response
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    Programmable logic controllers
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    Fir filters