A device for the determination of the national phase of a fraction of a signal of electrical repetitive indicator of an incident

• 1. 用于检测重复光脉冲信号的超短光脉冲和确定光脉冲的脉冲宽度的方法和设备 [P] . 中国专利： CN101176045A . 2008-05-07
• 2. 转向控制设备和确定用于机动车转向装置功率电子设备的调节信号的方法 [P] . 中国专利： CN111032485A . 2020-04-17
• 3. PHOTOCONDUCTIVE - ELECTROLUMINESCENT DEVICE HAVING SPECIAL PHASE OR FREQUENCY RELATIONSHIP BETWEEN THE INCIDENT LIGHT SIGNAL AND THE ELECTRICAL EXCITING SIGNAL [P] . 美国专利： US3430051A . 1969-02-25

  机译： 具有入射光信号和电激发信号之间特殊的相位或频率关系的光导电致发光器件

• 4. MEASURING ELECTRONIC DEVICE AND METHODS OF QUICK DETERMINATION OF MASS FRACTION OF COMPONENTS OF MULTIPHASE FLUID ACCORDING TO CORIOLIS FLOW METRE SIGNAL [P] . 俄罗斯专利： RU2376555C2 . 2009-12-20

  机译： 电子仪器和快速测定多相流体组分的质量分数的方法

• 5. Overvoltage protection indicator for electrical plants - has safety output devices in branches from phase lines to varistors unit with remote signalling relays [P] . 德国专利： DE4015301A1 . 1991-11-14

  机译： 电厂过压保护指示器-在相线到压敏电阻单元的分支中具有安全输出设备，并带有远程信号继电器

• 1. Experimental Acoustic Determination of the Void Fraction in Two-Phase Flow in Horizontal Pipelines [J] . Fernando Augusto de Noronha Castro Pinto, Thiago de Campos Negrelly, Alexandre Silva de Lima 机械工程与自动化：英文版 . 2014,第008期
• 2. Determination of Acetonitrile Volume Fraction in Mobile Phase by HPLC [J] . WU Yi, WANG Zhi-wu, GU Jing-kai, 高等学校化学研究（英文版） . 2008,第006期
• 3. Determination of Acetonitrile Volume Fraction in Mobile Phase by HPLC [J] . WU Yi, WANG Zhi-wu, GU Jing-kai, 高等学校化学研究：英文版 . 2008,第006期
• 4. Studies on absorption coefficients of dual-energy γ-rays and measuring error correction for multiphase fraction determination [J] . 核技术（英文版） . 2006,第002期
• 5. Accurate on wafer measurement of phase and amplitude of the spectral components of incident and scattered voltage waves at the signal ports of a nonlinear microwave device [C] . Verspecht, J., Debie, . 1995
• 6. Two-phase flow pattern identification from fluctuating signals of pressure and void fraction. [D] . Han, Yanjie. 1999
• 7. Muscle Plasticity and Ankle Control After Repetitive Use of a Functional Electrical Stimulation Device for Foot Drop in Cerebral Palsy [O] . Diane L. Damiano, Laura A. Prosser, Lindsey A. Curatalo, -1
• 8. 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
• 9. Visual Sweep Width Determination for Three Visual Distress Signalling Devices [R] . Robe, R. Q., Hover, G. L. 1986

• 1. K1类设备事故鉴定热力环境确定方法研究 [C] . ZHENG Xiao-wei ,郑晓威 ,HE Fan . 中国核学会2026年学术年会 . 2017
• 2. 应用于DVB-T/H调谐器的CMOS接收信号强度指示器(RSSI)设计 [A] . 卜文涵 . 2011