A SystemC-Based Design Methodology for Digital Signal Processing Systems

  • Christian Haubelt1Email author,

    Affiliated with

    • Joachim Falk1,

      Affiliated with

      • Joachim Keinert1,

        Affiliated with

        • Thomas Schlichter1,

          Affiliated with

          • Martin Streubühr1,

            Affiliated with

            • Andreas Deyhle1,

              Affiliated with

              • Andreas Hadert1 and

                Affiliated with

                • Jürgen Teich1

                  Affiliated with

                  EURASIP Journal on Embedded Systems20072007:047580

                  DOI: 10.1155/2007/47580

                  Received: 7 July 2006

                  Accepted: 10 January 2007

                  Published: 20 March 2007


                  Digital signal processing algorithms are of big importance in many embedded systems. Due to complexity reasons and due to the restrictions imposed on the implementations, new design methodologies are needed. In this paper, we present a SystemC-based solution supporting automatic design space exploration, automatic performance evaluation, as well as automatic system generation for mixed hardware/software solutions mapped onto FPGA-based platforms. Our proposed hardware/software codesign approach is based on a SystemC-based library called SysteMoC that permits the expression of different models of computation well known in the domain of digital signal processing. It combines the advantages of executability and analyzability of many important models of computation that can be expressed in SysteMoC. We will use the example of an MPEG-4 decoder throughout this paper to introduce our novel methodology. Results from a five-dimensional design space exploration and from automatically mapping parts of the MPEG-4 decoder onto a Xilinx FPGA platform will demonstrate the effectiveness of our approach.

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                  Authors’ Affiliations

                  Hardware-Software-Co-Design, Department of Copmuter Sciences, Friedrich-Alexander-University of Erlangen-Nuremberg


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                  © Christian Haubelt et al. 2007

                  This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.