{'fraction_non_alphanumeric': 0.03007518796992481, 'fraction_numerical': 0.0, 'mean_word_length': 5.594059405940594, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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.