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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2507.19541 |
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| _version_ | 1866912502219014144 |
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| author | Hao, Yijia Li, Ken Gandara, Miguel Li, Shaolan Liu, Bo |
| author_facet | Hao, Yijia Li, Ken Gandara, Miguel Li, Shaolan Liu, Bo |
| contents | This paper presents a system-level optimization framework for automated asynchronous SAR ADC design, addressing the limitations of block-level methods in terms of suboptimal performance and manual effort. The proposed approach integrates a fast global optimizer with a multi-fidelity local optimizer to efficiently handle high-dimensionality and expensive simulation cost. Experimental results from 12 design cases, covering 7- and 12-bit resolutions and a frequency range of 100 kHz to 250 MHz, demonstrate highly competitive performance compared with prior works. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_19541 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Global-Local Optimization Approach for Asynchronous SAR ADC Design Hao, Yijia Li, Ken Gandara, Miguel Li, Shaolan Liu, Bo Optimization and Control This paper presents a system-level optimization framework for automated asynchronous SAR ADC design, addressing the limitations of block-level methods in terms of suboptimal performance and manual effort. The proposed approach integrates a fast global optimizer with a multi-fidelity local optimizer to efficiently handle high-dimensionality and expensive simulation cost. Experimental results from 12 design cases, covering 7- and 12-bit resolutions and a frequency range of 100 kHz to 250 MHz, demonstrate highly competitive performance compared with prior works. |
| title | A Global-Local Optimization Approach for Asynchronous SAR ADC Design |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2507.19541 |