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VLSI Architecture for Fast Memetic Vector Quantizer Design on Reconfigurable Hardware

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Algorithms and Architectures for Parallel Processing (ICA3PP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5574))

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Abstract

A novel hardware architecture for memetic vector quantizer (VQ) design is presented in this paper. The architecture uses steady-state genetic algorithm (GA) for global search, and C-means algorithm for local refinement. It adopts a shift register based circuit for accelerating mutation and crossover operations for steady state GA operations. It also uses a pipeline architecture for the hardware implementation of C-means algorithm. The proposed architecture has been embedded in a softcore CPU for physical performance measurement. Experimental results show that the proposed architecture is an effective alternative for VQ optimization attaining both high performance and low computational time.

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© 2009 Springer-Verlag Berlin Heidelberg

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Weng, SK., Ou, CM., Hwang, WJ. (2009). VLSI Architecture for Fast Memetic Vector Quantizer Design on Reconfigurable Hardware. In: Hua, A., Chang, SL. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2009. Lecture Notes in Computer Science, vol 5574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03095-6_49

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  • DOI: https://doi.org/10.1007/978-3-642-03095-6_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03094-9

  • Online ISBN: 978-3-642-03095-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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