ANTIGONE: Top-down creation of analog-to-digital converter architectures

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@Article{Martens200910,
  author =       "E. Martens and G. Gielen",
  title =        "ANTIGONE: Top-down creation of analog-to-digital
                 converter architectures",
  journal =      "Integration, the VLSI Journal",
  volume =       "42",
  number =       "1",
  pages =        "10--23",
  year =         "2009",
  note =         "AMF/RF CMOS Circuit design for wireless transceivers",
  ISSN =         "0167-9260",
  DOI =          "doi:10.1016/j.vlsi.2008.07.001",
  URL =          "http://www.sciencedirect.com/science/article/B6V1M-4T0WJNT-1/2/78ea82c92c1ba53cc4f227f0d3e3067e",
  keywords =     "genetic algorithms, genetic programming, EHW, Analog
                 systems, Analog-to-digital converters, Synthesis,
                 Evolutionary algorithms",
  abstract =     "A new framework for high-level synthesis of analog and
                 mixed-signal integrated systems is introduced. It
                 focuses on the translation of a functional description
                 into a behavioural model of a specific architecture
                 with values for the parameters of its building blocks.
                 An initial, simple, high-level solution is evolved into
                 a more realistic low-level result by applying
                 appropriate transformations of both architecture and
                 parameters. This top-down heterogeneous optimisation
                 algorithm deals readily with multifarious performance
                 characteristics and diverse types of objectives, and
                 integrates various sources of design knowledge and
                 types of transformations. Furthermore, it creates the
                 architecture rather than selecting it. As illustration
                 of the methodology, a tool, ANTIGONE, has been written
                 that allows to generate different types of A/D
                 converters depending on the specifications like speed
                 and accuracy.",
}

Genetic Programming entries for Ewout Martens Georges G E Gielen

Citations