compact acoustic signal / rufgerät designed specifically for use in children and other particularly aufsichtsbedürftiger persons

• 1. 一种基于声音信号的人脸识别辅助认证方法和系统 [P] . 中国专利： CN110020520B . 2021.03.26
• 2. 一种基于声音信号的人脸识别辅助认证方法和系统 [P] . 中国专利： CN110020520A . 2019-07-16
• 3. compact acoustic signal / rufgerät designed specifically for use in children and other particularly aufsichtsbedürftigen persons [P] . 德国专利： DE29505438U1 . 1995-08-24

  机译： 紧凑型声音信号// rufger u00e4t，专门为儿童和其他特别喜欢使用床的人而设计

• 4. Compact acoustic signal - / call device especially for the use in the case of children and other particularly plan view, for persons tim [P] . 德国专利： DE29619747U1 . 1997-02-06

  机译： 紧凑的声音信号/呼叫装置，特别适用于儿童和其他特别平面视图的人

• 5. Compact acoustic signal - / call device especially for the use in the case of children and other particularly plan view, it will be, for persons [P] . 德国专利： DE29505438U1 . 1995-07-13

  机译： 紧凑的声音信号-/呼叫设备，特别适用于儿童和其他特别是平面图的情况

• 1. A Design of Acoustic Signal Wireless Acquisition System for Stored Grain Pests Based on Compressed Sensing [J] . HAN An-tai, YANG Yue-mei, YUAN Lian-hong 东华大学学报（英文版） . 2012,第001期
• 2. Cluster modeling of the short-range correlation of acoustically emitted scattering signals [J] . Dongjie Xue, Lele Lu, Jie Zhou, 国际煤炭科学技术学报（英文） . 2021,第004期
• 3. Effect of noise and reverberation on sound localization of acoustic guide signal for visually impaired persons in public spaces [C] . Hiroshi SATO, Masayuki MORIMOTO, Hayato SATO Korean Society of Noise & Vibration Control;Institute of Noise Control Engineering;International congress and exposition on noise control engineering;ASME Noise Control & Acoustics Division . 2015
• 4. Acoustic emission techniques and cyclic load testing for integrity evaluation of self-compacting normal and self-compacting lightweight prestressed concrete girders. [D] . Barrios Illidge, Francisco Alejandro. 2010
• 5. A Modified Lattice Configuration Design for Compact Wideband Bulk Acoustic Wave Filter Applications [O] . Qingrui Yang, Wei Pang, Daihua Zhang, 2016
• 6. 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
• 7. Problems Associated with Statistical Pattern Recognition of Acoustic Emission Signals in a Compact Tension Fatigue Specimen [R] . Hinton, Y. L. 1999

• 1. A Survey on Underwater Acoustic Sensor Networks: Perspectives on Protocol Design for Signaling, MAC and Routing [J] . Mohammad Sharif-Yazd ,Mohammad Reza Khosravi ,Mohammad Kazem Moghimi . 电脑和通信（英文） . 2017,第5期
• 2. Multi-Person Device-Free Gesture Recognition Using mmWave Signals [J] . Jie Wang ,Zhouhua Ran ,Qinghua Gao . 中国通信 . 2021,第002期
• 3. Measuring Acoustic Wave Transit Time in Furnace Based on Active Acoustic Source Signal [J] . Zhen Luo Feng Tian Xiao-Ping Sun . 国际自动化与计算杂志：英文版 . 2007,第1期
• 4. 基于DSP的声音信号采集与处理系统的硬件设计 [C] . 曾水平 ,曾铮 . 第五届全国信息获取与处理学术会议 . 2007
• 5. 小学语文儿童诗“读写结合”教学设计研究--以《听听，秋的声音》为例 [A] . 张萌 . 2021