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Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89668" target="_blank" >RIV/00216305:26230/10:PU89668 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Implementation of bio-inspired adaptive wavelet transforms in FPGAs. Modelling, validation and profiling of the algorithm

  • Original language description

    Providing embedded systems with adaptation capabilities is an increasing importance objective in design community. This work deals with the implementation of adaptive compression schemes in FPGA devices by means of a bioinspired algorithm. A simplified version of an Evolution Strategy using fixed point arithmetic is proposed. Specifically, a simpler than the standard (hardware friendly) mutation operator is designed, modelled and validated using a high-level language. HW/SW partitioning issues are considered and code profiling accomplished to validate the proposal. Preliminary results of the proposed hardware architecture are also shown.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the XXV Conference on Design of Circuits and Integrated Systems

  • ISBN

    978-84-693-7393-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    210-215

  • Publisher name

    The Universidad de Las Palmas de Gran Canaria

  • Place of publication

    Lanzarote

  • Event location

    Lanzarote

  • Event date

    Nov 24, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article