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一种受光电反馈和相互耦合作用的多输入多输出储层计算系统。

A Multiple-Input Multiple-Output Reservoir Computing System Subject to Optoelectronic Feedbacks and Mutual Coupling.

作者信息

Bao Xiurong, Zhao Qingchun, Yin Hongxi

机构信息

School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot 010022, China.

出版信息

Entropy (Basel). 2020 Feb 18;22(2):231. doi: 10.3390/e22020231.

DOI:10.3390/e22020231
PMID:33286005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516663/
Abstract

In this paper, a multiple-input multiple-output reservoir computing (RC) system is proposed, which is composed of multiple nonlinear nodes (Mach-Zehnder modulators) and multiple mutual-coupling loops of optoelectronic delay lines. Each input signal is added into every mutual-coupling loop to implement the simultaneous recognition of multiple route signals, which results in the signal processing speed improving and the number of routes increasing. As an example, the four-route input and four-route output RC is simultaneously realized by numerical simulations. The results show that this type of RC system can successfully recognize the four-route optical packet headers with 3-bit, 8-bit, 16-bit, and 32-bit, and four-route independent digital speeches. When the white noise is added to the signals such that the signal-to-noise ratio (SNR) of the optical packet headers and the digital speeches are 35 dB and 20 dB respectively, the normalized root mean square errors (NRMSEs) of the signal recognition are all close to 0.1. The word error rates (WERs) of the optical packet header recognition are 0%. The WER of the digital speech recognition is 1.6%. The eight-route input and eight-route output RC is also numerically simulated. The recognition of the eight-route 3-bit optical packet headers is implemented. The parallel processing of multiple-route signals and the high recognition accuracy are implemented by this proposed system.

摘要

本文提出了一种多输入多输出储层计算(RC)系统,它由多个非线性节点(马赫曾德尔调制器)和多个光电延迟线的相互耦合回路组成。每个输入信号被添加到每个相互耦合回路中,以实现对多个路由信号的同时识别,这导致信号处理速度提高和路由数量增加。作为一个例子,通过数值模拟同时实现了四路输入和四路输出的RC。结果表明,这种类型的RC系统能够成功识别3位、8位、16位和32位的四路光分组头以及四路独立的数字语音。当向信号中添加白噪声,使得光分组头和数字语音的信噪比(SNR)分别为35 dB和20 dB时,信号识别的归一化均方根误差(NRMSE)均接近0.1。光分组头识别的误字率(WER)为0%。数字语音识别的WER为1.6%。还对八路输入和八路输出的RC进行了数值模拟。实现了对八路3位光分组头的识别。该系统实现了多路由信号的并行处理和高识别精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/8313933c4dce/entropy-22-00231-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/dca0a6770024/entropy-22-00231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/e5d3db3f50ab/entropy-22-00231-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/3c3b7b36a9e5/entropy-22-00231-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/7a90d94ecae7/entropy-22-00231-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/66a8ee39b9cf/entropy-22-00231-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/8313933c4dce/entropy-22-00231-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/dca0a6770024/entropy-22-00231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/e5d3db3f50ab/entropy-22-00231-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/3c3b7b36a9e5/entropy-22-00231-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/7a90d94ecae7/entropy-22-00231-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/66a8ee39b9cf/entropy-22-00231-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42aa/7516663/8313933c4dce/entropy-22-00231-g006.jpg

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