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EMD

机译：EMD

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1. Production did not occur 2. L-3 unable to win orders for Expendable Mine Destructor (EMD) 3. Improvements made to Mk 8x EMD did not result in procurement contracts 4. Demand for mine disposal vehicles remains strong 5. L-3 Communications will remain involved in the MDV market 6. EMD follow-on possible in the future.

机译：1.没有发生生产2. L-3无法赢得消耗性地雷破坏器（EMD）的订单3. Mk 8x EMD的改进并未产生采购合同4.矿山处理车的需求仍然强劲5. L-3通信将继续参与MDV市场。6.将来可能会推出EMD。

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《Unmanned Vehicles Forecast》 |2016年第5期|3.1-3.3|共3页
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1. Removal of Ocular Artifacts in Single Channel EEG by EMD, EEMD and CEEMD Methods Inspired by Wavelet Thresholding [J] . Vijayasankar. Anumala, Rajesh Kumar. Pullakura International Journal of Image, Graphics and Signal Processing . 2018,第5期

机译：小波阈值启发的EMD，EEMD和CEEMD方法去除单通道EEG中的人工眼
2. Juvenile elastoma without germline mutations in LEMD 3 LEMD LEMD 3 gene: A case of Buschke‐Ollendorff syndrome? [J] . Condorelli Alessandra, Musso Nicolo, Scuderi Laura, Pediatric dermatology . 2017,第S1期

机译：没有种系突变的少年弹性瘤3 LEMD LEMD 3基因：Buschke-Ollendorff综合征的情况？
3. A portable infrared photoplethysmograph: heartbeat of Mytilus galloprovincialis analyzed by MRI and application to Bathymodiolus septemdierum A portable infrared photoplethysmograph: heartbeat of Mytilus galloprovincialis analyzed by MRI and application to Bathymodiolus septemdierum A portable infrared photoplethysmograph: heartbeat of Mytilus galloprovincialis analyzed by MRI and application to Bathymodiolus septemdierum [J] . Osamu Nagata, Masataka Murakami, Eriko Seo, Biology Open . 2016,第11期

机译：便携式红外光体积描记仪：MRI分析的鸡没食子藻的心跳并应用于隔壁腐烂便携式红外光体积描记仪：MRI分析的鸡没食子杆菌的心跳并应用于隔壁念珠菌隔膜
4. A Comparative Investigation of Mode Mixing in EEG Decomposition Using EMD, EEMD and M-EMD [C] . Raymond Ho, Kevin Hung IEEE Symposium on Computer Applications Industrial Electronics . 2020

机译：使用EMD，EEMD和M-EMD进行脑电分解模式混合的比较研究
5. How eye movement desensitization and reprocessing (EMDR) trained therapists stabilize clients prior to reprocessing with EMDR therapy [D] . Brendler, Edward H. 2017

机译：训练有素的眼动脱敏和再加工（EMDR）治疗师如何在使用EMDR疗法再加工之前稳定患者
6. EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks [O] . Zihan Li, Chen Li, Yudong Yao, 2021

机译：EMDS-5：环境微生物图像数据集第五个版本用于多映像分析任务
7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）

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