Genetic-Based High-Level Synthesis of Sigma-Delta Modulator in SystemC-A

This paper proposes a novel genetic-based highlevel synthesis methodology for Sigma-Delta modulators. This approach is based on simulation-based optimisation where optimal topology of the Sigma-Delta modulator is automated explored using a genetic algorithm( GA) under various design constraints, such as SNR(Signalto- Noise Ratio) and hardware complexity. The proposed synthesis technique has been implemented in SystemC-A due to its advantages in terms of high simulation speed, flexibility and data manipulation. Experimental results validates the effectiveness of the synthesis approach