Neuron-MOS correlator based on Manhattan distance computation for event recognition hardware
Neuron-MOS correlator based on Manhattan distance computation for event recognition hardware
复制标题
用于事件识别硬件的基于曼哈顿距离计算的神经元-MOS 相关器
DOI：
10.1109/iscas.1996.541939
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
T. Ohmi
中科院分区：
文献类型：
--
作者：
M. Konda;T. Shibata;T. Ohmi
基于神经元MOS（/spl nu/MOS）技术，研制了一种用于实时事件识别系统的最小距离矢量全并行搜索硬件。距离计算以及最小距离搜索是基于/spl nu/MOS电路的电压模式操作原理进行的，因此能够在相对低功率操作下快速操作。电路的工作已经通过HSPICE仿真和测试电路进行了证明，该电路采用双多晶硅CMOS工艺，具有3-/spl μ/m的布局规则。
A minimum-distance-vector fully-parallel-search hardware has been developed based on neuron-MOS (/spl nu/MOS) technology for use in real-time event recognition system. The distance calculation as well as the minimum distance search are conducted based on the voltage-mode operation principle of /spl nu/MOS circuitry, thus enabling fast operation under relatively low power operation. The circuit operation has been demonstrated by HSPICE simulation and test circuits fabricated by a double-poly CMOS process with 3-/spl mu/m layout rules.