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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:我们的世界具有模拟性质,以模拟方式处理信号是很自然的。模拟信号处理可能比数字信号处理快得多,并且不需要AD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,提出了几种新的电路。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。以模糊信号处理为例。所提出的模糊器电路相对简单,同时可获得隶属函数的几乎任意形状。提出的电流模式MAX和MIN运算符具有优于其他电路的精度。去模糊器电路使用信号归一化和加权和的概念。在亚阈值传导模式下工作的新型归一化电路具有几乎理想的特性。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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