Information technologies, radio engineering circuits and circuit-element base: analysis of diode mixers with exponential nonlinearity

Ilyushin Y. A.; Terekhova O. A.

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Information technologies, radio engineering circuits and circuit-element base: analysis of diode mixers with exponential nonlinearity

机译：信息技术，无线电工程电路和电路元件基础：具有指数非线性的二极管混频器分析

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The diode frequency multiplier is analyzed. There are given some new approximate formulae for its parameters.

机译：分析了二极管倍频器。对于其参数给出了一些新的近似公式。

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《Радиотехника》 |2001年第10期|共4页
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Ilyushin Y. A.; Terekhova O. A.;
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1. Information technologies, radio engineering circuits and circuit-element base: analysis of diode mixers with exponential nonlinearity [J] . Ilyushin Y. A., Terekhova O. A. Радиотехника . 2001,第10期

机译：信息技术，无线电工程电路和电路元件基础：具有指数非线性的二极管混频器分析
2. 670-GHz Schottky Diode-Based Subharmonic Mixer With CPW Circuits and 70-GHz IF [J] . NASA Tech Briefs . 2012,第8期

机译：具有CPW电路和70GHz IF的基于670GHz肖特基二极管的亚谐波混频器
3. Design of a Compact Ka-band Balanced Mixer Based on a Novel Wide-band Equivalent Circuit of the Schottky Diode [J] . Jinchao Mou, Weihua Yu, Yong Yuan, Journal of Infrared, Millimeter and Terahertz Waves . 2011,第4期

机译：基于新型肖特基二极管宽带等效电路的紧凑型Ka波段平衡混频器设计
4. Nonlinear signal and noise analysis of arbitrary number of anti-parallel diode mixer for 3G mobile [C] . Vaezi A., Abdipour A., Afrooz K. International Conference of Recent Advances in Microwave Theoty and Applications . 2008

机译：用于3G移动的任意数量的反平行二极管混合器的非线性信号和噪声分析
5. THE SINGLE-ENDED SEMICONDUCTOR DIODE MIXER: A MATHEMATICAL MODEL WHICH INCLUDES THE EFFECTS OF CIRCUIT RESISTANCE, DIODE CAPACITANCE, DC BIAS, AND CIRCUIT FILTERS [D] . BOWEN, CLARENCE EDWARD -1

机译：单端半导体二极管混频器：一种数学模型，其中包括电路电阻，二极管电容，直流偏置和电路滤波器的影响
6. Nonlinear dynamics based machine learning: Utilizing dynamics-based flexibility of nonlinear circuits to implement different functions [O] . Behnam Kia, Allen Mendes, Akshay Parnami, 2020

机译：基于非线性动力学的机器学习：利用基于动态的非线性电路的灵活性实现不同的功能
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）

Information technologies, radio engineering circuits and circuit-element base: analysis of diode mixers with exponential nonlinearity

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