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ARGEN: A behavioral level compiler for hardware realisation of DSP systems

IEE Colloquium on DSP: CAD, software and hardware
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  • Computer Science
  • Mathematics


This paper introduces ARGEN, a compiler that translates behavioural level description of DSP algorithms into efficient data path structures expressed in VHDL. ARGEN is based on novel data path synthesis algorithms that utilise stochastic techniques and hence result in low computational complexity and excellent solution quality. These features make it suitable for application to a wide range of practical DSP applications including FIR, IIR digital filters, compression algorithms and DCTs used in video applications.

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