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Analog VLSI hardware for fuzzy systems

机译:模糊系统的模拟VLSI硬件

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摘要

Our world has an analog nature and it is natural to process signals in an analog way. Analog signal processing can be much faster than digital signal processing and AD or DA conversion is not required. The main obstacle is to develop adequate circuits for nonlinear signal processing. In the paper several new circuits are proposed. These circuits use nonlinear characteristics of MOS transistors for nonlinear signal processing. The fuzzy signal processing is used as an example. The proposed fuzzifier circuits are relatively simple while almost arbitrary shapes of membership functions can be obtained. The proposed current mode MAX and MIN operators exhibit accuracy superior to other circuits. The defuzzifier circuit uses the concept of signal normalization and weighted sum. A new normalization circuit, operating in the subthreshold conduction mode, exhibits almost ideal characteristics. The described new building blocks were used to design the entire analog fuzzy VLSI chip.
机译:我们的世界有一种模拟性,它是以模拟方式处理信号的自然。模拟信号处理可以比数字信号处理快得多,并且不需要广告或DA转换。主要障碍是为非线性信号处理开发足够的电路。在本文中,提出了几个新电路。这些电路使用MOS晶体管的非线性特性进行非线性信号处理。模糊信号处理用作示例。所提出的模糊改性电路是相对简单的,而可以获得几乎可以获得隶属函数的几乎任意形状。所提出的电流模式最大和最小操作员表现出优于其他电路的精度。 DEFUZZIFER电路使用信号归一化和加权总和的概念。在亚阈值导通模式下操作的新归一化电路呈现出几乎理想的特性。所描述的新构建块用于设计整个模拟模糊VLSI芯片。

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