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首页> 外文期刊>Solid-State Circuits Magazine, IEEE >Yield Analysis for Electrical Circuit Designs: Many Problems and Some Recent Developments in Electronic Engineering
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Yield Analysis for Electrical Circuit Designs: Many Problems and Some Recent Developments in Electronic Engineering

机译:电路设计的产量分析:电子工程中的许多问题和最近的一些发展

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After the introduction of transistor level circuit simulators in the late 1960s and their widespread adoption in the 1980s, many tasks have been made available in design environments, such corner and MC analyses, automated search techniques for worst -case corners and statistical corners, and circuit optimization. However, the quiver of math techniques is still not empty. Many researchers have demonstrated much higher levels of automation and generality, especially regarding optimization. In addition to these big topics, other little tricks can also help designers. For instance, often a test bench does not run well for all MC points; for example, the simulation stop time has been set too small to observe an event, such as "output voltage ramped up." This leads to a mixed data set: for many points you can extract correct values for t _startup, but for others the data are not available, and we know only that tstartup ≥ tsim Luckily, this is enough information to create a reliable estimate. The so-called censored MLE is often used in other fields of science and engineering but not yet in circuit design. There is no need to extend the simulation time and rerun the whole MC analysis. Thanks to the maximum likelihood principle, a small censorization will usually degrade the accuracy only very little. For many problems, we see that there is indeed no almost -free lunch because fundamental mathematical limits exist, especially when it comes to complexity. In these cases, math cannot deliver results that go too far beyond common sense. If something is too good to be true, then it is often not true.
机译:在20世纪60年代后期引入晶体管电平电路模拟器之后,在20世纪80年代广泛的采用,设计环境中已经提供了许多任务,这种角落和MC分析,自动化搜索技术,用于最糟糕的角落和统计角和电路优化。但是,数学技术的QUIVIVES仍然不为空。许多研究人员展示了更高水平的自动化和一般性,特别是关于优化。除了这些大主题外,其他小技巧还可以帮助设计师。例如,通常一个测试台不适合所有MC点;例如,仿真停止时间已经设置得太小,无法观察一个事件,例如“输出电压升高”。这导致混合数据集:对于许多点,您可以提取T _startup的正确值,但对于其他数据,数据不可用,我们只知道t startup ≥T. sim 幸运的是,这是创造可靠估计的信息。所谓的被审查的MLE经常用于其他科学和工程领域,但尚未在电路设计中使用。没有必要扩展模拟时间并重新运行整个MC分析。由于最大的似然原理,小污染物化通常会降低精度。对于许多问题,我们看到确实没有近几午餐,因为存在基本的数学限制,特别是在复杂性时。在这些情况下,数学无法提供超越常识的结果。如果某些事情太好,那么它通常不是真的。

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