Programmable Quantum-Dots Memrlstor Based Architecture for Image Processing

机译：基于可编程量子点Memrlstor的图像处理架构

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An analog Cellular Neural Network (CNN) architecture employing quantum dots to realize various real time image processing applications such as edge and line detections and motion estimation is proposed. In order to obtain programmability to switch between applications, memristive connections between neighboring cells, and for signal amplification and locking resonant tunneling diodes (RTDs) are utilized. Simulations are carried out on a 2D array of the proposed cell structure to demonstrate edge detection and line detection tasks. This work also provides analytical models and simulation results to prove above mentioned real time image processing functionalities.

机译：提出了一种采用量子点实现诸如边缘和线路检测和运动估计的各种实时图像处理应用的模拟蜂窝神经网络（CNN）架构。为了获得在应用程序之间切换的可编程性，利用相邻小区和信号放大和锁定谐振隧道二极管（RTDS）之间的存储器连接。在建议的单元结构的2D阵列上进行模拟，以演示边缘检测和线路检测任务。这项工作还提供了分析模型和仿真结果，以证明上述实时图像处理功能。

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《IEEE International Conference on Nanotechnology》|2012年||共4页
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Yalcin Yilmaz; Pinaki Mazumder;
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入库时间 2022-08-20 22:08:44

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