摘要
符号分析和统计分析是自动建立宏模型的常用方法．本文综合了这两种方法，提出一种新的宏模型自动建立方法，克服了分别利用以上两种方法建立宏模型的缺陷，使建立的宏模型具有更高的精度本文结出了应用新方法建立宏模型的实例，并与SPICE模拟结果进行了比较，以说明新方法的有效性．
Symbol analysis and statistical optimization are combined to get a novel method of autodevelopment of circuit macromodel. The novel method overcomes the shortcomings of the individual methods, and the macromedel is more accurale. Then the design example using our novel approach is presented. By comparing with the results of SPICE, it is proven that our novel approach is effective and feasible.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1998年第8期132-134,142,共4页
Acta Electronica Sinica
