A Scalable Architecture for Event-Based Cross-Correlation

J. Tapson, C. Jin, A. van Schaik
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引用次数: 4

Abstract

We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.
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基于事件的相互关联的可伸缩架构
我们提出了一种实现大范围互相关的生物启发电路的架构。该电路实现了对数学互相关的随机逼近。基本电路元件是一个噪声驱动振荡器,由一个积分器、一个施密特逆变器和一个开关组成,该开关在两个要交叉相关的信号之间切换。这些元素可以发展成一个NxN阵列,扩展互相关范围,提高近似的速度和精度。
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