Non-Regression Calibration Approach for Analog Behavioral Model Generator
| Autor: | Ling-Yen Song, 宋伶彥 |
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| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Building the behavioral model for each analog circuit is an efficient approach for mixed-signal system verification. If an automatic model generator is available to generate the required behavioral model from the given circuit specifications or netlist, it is useful for designers to reduce the extra efforts. Instead of modeling the relationship between circuit inputs and outputs directly, a divide and conquer approach is proposed in this paper to divide the circuit into several small building blocks and model the behavior of each block. It will increase the level of verification from transistor level to behavioral level. A different approach is proposed to build the behavioral model of each internal block in structure-based approach without regression. Therefore, no training patterns are required in the calibration process. As shown in the experimental results, the model accuracy is still kept in the proposed approach while the efficiency of behavioral model generator is greatly improved |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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