首页> 外文会议>2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control. >Simplified adjusting and simulation of a pseudo Gaussian function in voltage domain generated with FGMOS transistors on circuit simulation software exportable to a multi-domain platform
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Simplified adjusting and simulation of a pseudo Gaussian function in voltage domain generated with FGMOS transistors on circuit simulation software exportable to a multi-domain platform

机译:在可导出到多域平台的电路仿真软件上,通过FGMOS晶体管生成的电压域伪高斯函数的简化调整和仿真

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Simulation software is a fundamental tool that should be used when designing systems dealing with circuit interaction, for instance. Nevertheless, there exist some inconveniences that limit and make specific software hard to use in this task. On one side, it may require a large processing hardware capacity, and on the other, simulation time increases substantially if the model complexity and accuracy required is high [1]. This work presents the procedure for adjusting and simulating a programmable pseudo Gaussian function generator implemented with eight FGMOS transistors in an analog and mixed-signal circuit simulator (Pspice®) with the interaction of a multi-domain design and simulation platform based on dynamic systems (Simulink® of Matlab®). Using the results, the best value of charge in each one of the eight transistor's floating gates to generate a desired form of the Gaussian function can be known: This function can maintain its form thanks to the FGMOS features, using a Fowler-Nordheim charge injection. [2, 3] The main goal of this study is to show how an automated adjust using FGMOS transistors can be made in order to reach a desired and repeatable output. This is very useful because it can be used to program an artificial neuronal network.
机译:例如,仿真软件是在设计用于处理电路交互作用的系统时应使用的基本工具。但是,仍然存在一些不便之处,这些不便会限制并使得特定软件难以在此任务中使用。一方面,它可能需要较大的处理硬件容量,另一方面,如果所需的模型复杂性和准确性较高,则仿真时间会大大增加[1]。这项工作提出了在模拟和混合信号电路仿真器(Pspice®)中,通过基于动态系统的多域设计和仿真平台的相互作用,对由八个FGMOS晶体管实现的可编程伪高斯函数发生器进行调整和仿真的过程( Matlab®的Simulink®)。利用这些结果,可以知道八个晶体管的浮动栅极中的每个栅极中产生最佳形式的高斯函数的最佳电荷值:由于使用了Fowler-Nordheim电荷注入的FGMOS特性,该函数可以保持其形式。 [2,3]这项研究的主要目的是展示如何使用FGMOS晶体管进行自动调节,以达到所需的可重复输出。这非常有用,因为它可用于对人工神经元网络进行编程。

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