首页> 美国政府科技报告 >An Application of Computer Techniques to the Analysis and Design of Small Signal Linear Circuits

【24h】

An Application of Computer Techniques to the Analysis and Design of Small Signal Linear Circuits

机译：计算机技术在小信号线性电路分析与设计中的应用

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

The Report describes how the computer programmes available at the Royal Aircraft Establishment may be used for linear network design and analysis. To demonstrate the method, the design of a small signal linear amplifier is described. (Author)

著录项

作者
Martin, M. J.;
展开▼
作者单位

展开▼
年度 1970
页码 p.1-74
总页数 74
原文格式 PDF
正文语种 eng
中图分类
关键词
Circuits ; Design ; Linear systems ; Analysis ; Networks ; Computers ; Great Britain;

机译：电路;设计;线性系统;分析;网络;计算机;英国;

相似文献

外文文献
中文文献
专利

1. The computer-aided analysis of transformation of the modulated signals in linear circuits on the basis of fast Fourier transform [J] . A. A. Kuchumov, A. I. Kuchumov Измерительная техниκа . 1998,第8期

机译：基于快速傅里叶变换的线性电路中调制信号变换的计算机辅助分析
2. The computer-aided analysis of transformation of the modulated signals in linear circuits on the basis of fast Fourier transform [J] . A. A. Kuchumov, A. I. Kuchumov Измерительная техниκа . 1998,第8期

机译：基于快速傅里叶变换的线性电路中调制信号转换的计算机辅助分析
3. Reading up books: Computer-aided circuit analysis and design: A discussion of the role of the digital computer in circuit analysis and design is followed by a review of current literature [J] . Zobrist George W. Potentials, IEEE . 1984,第1期

机译：阅读书籍：计算机辅助电路分析和设计：在讨论数字计算机在电路分析和设计中的作用之后，回顾当前的文献
4. CC. Computer-Aided Design Techniques for Linear Circuits (1985 MWSYM) [C] . IEEE MTT-S International Microwave Symposium Digest . 1985

机译：CC。线性电路的计算机辅助设计技术（1985 MWSYM）
5. Techniques for Mixed-Signal Linearization and Large Signal Handling in Radio-Frequency Receiver Circuits. [D] . Keehr, Edward A. 2011

机译：射频接收器电路中的混合信号线性化和大信号处理技术。
6. Computer Applications in Medical Care. Computer Systems in Hospitals. Hospital-Based Specialty Care Systems: Mathematical Optimization Techniques for Multi-Phase Radiation Treatment Design [O] . David Sonderman 1983

机译：医疗保健中的计算机应用。医院中的计算机系统。基于医院的专业护理系统：多相放射治疗设计的数学优化技术
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）
8. Linear Integrated Circuit Models and Applications for Computer Aided Circuit and Systems Analysis and Design, [R] . tanenhaus,martin e. martin,robert l. 1976

机译：用于计算机辅助电路和系统分析与设计的线性集成电路模型和应用，

An Application of Computer Techniques to the Analysis and Design of Small Signal Linear Circuits

摘要

著录项

相似文献

相关主题

期刊订阅