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A threshold adaptive memristor model analysis with application in image storage

机译:阈值自适应忆阻模型分析,应用在图像存储中的应用

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The memristor, known as the fourth circuit element was theoretically predicted by Chua in 1971 and has been realized practically in 2008. However, with the wide applications of memristors, conventional memristor models were suffered from more challenges such as practicality, accuracy and flexibility. This paper addresses an accurate and flexible Threshold Adaptive Memristor (TEAM) model derived from the recognized classical Simmons Tunnel Model, which takes the ions diffusion by Joule Heat effects into consideration. Concretely, TEAM crossbar circuits are applied both in binary and gray scale image storage with the improved control method. The results reveal the approach polishes up the efficiency of parallel processing in nonvolatile memristive image process.
机译:被称为第四电路元件的回忆晶体由Chua在1971年理论上预测,并且已经在2008年实际上实现了。然而,随着忆阻器的广泛应用,传统的忆阻器模型遭受更多挑战,例如实用性,准确性和灵活性。本文涉及源自识别的古典硅斯隧道模型的准确且灵活的阈值自适应映像(团队)模型,这将考虑到焦耳热效应的离子扩散。具体地说,使用改进的控制方法,使用了团队交叉杆电路,均采用二进制和灰度图像存储。结果揭示了该方法抛光了非易失性忆阻图像过程中并联处理的效率。

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