Direct Simplified Symbolic Analysis (DSSA) Tool
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908600442552320 |
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| author | Shokouhifar, Mohammad Yazdanjouei, Hossein Weber, Gerhard-Wilhelm |
| author_facet | Shokouhifar, Mohammad Yazdanjouei, Hossein Weber, Gerhard-Wilhelm |
| contents | This paper introduces Direct Simplified Symbolic Analysis (DSSA), a new method for simplifying analog circuits. Unlike traditional matrix- or graph-based techniques that are often slow and memory-intensive, DSSA treats the task as a modeling problem and directly extracts the most significant transfer function terms. By combining Monte Carlo simulation with a genetic algorithm, it minimizes error between simplified symbolic and exact numeric expressions. Tests on five circuits in MATLAB show strong performance, with only 0.64 dB average and 1.36 dB maximum variation in dc-gain, along with a 6.8% average pole/zero error. These results highlight DSSA as an efficient and accurate tool for symbolic circuit analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_15901 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Direct Simplified Symbolic Analysis (DSSA) Tool Shokouhifar, Mohammad Yazdanjouei, Hossein Weber, Gerhard-Wilhelm Other Computer Science Hardware Architecture Neural and Evolutionary Computing This paper introduces Direct Simplified Symbolic Analysis (DSSA), a new method for simplifying analog circuits. Unlike traditional matrix- or graph-based techniques that are often slow and memory-intensive, DSSA treats the task as a modeling problem and directly extracts the most significant transfer function terms. By combining Monte Carlo simulation with a genetic algorithm, it minimizes error between simplified symbolic and exact numeric expressions. Tests on five circuits in MATLAB show strong performance, with only 0.64 dB average and 1.36 dB maximum variation in dc-gain, along with a 6.8% average pole/zero error. These results highlight DSSA as an efficient and accurate tool for symbolic circuit analysis. |
| title | Direct Simplified Symbolic Analysis (DSSA) Tool |
| topic | Other Computer Science Hardware Architecture Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2510.15901 |