Academic literature on the topic 'Analog computer simulation'

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Journal articles on the topic "Analog computer simulation"

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Chatterji, B. N. "Analog Computer Simulation." IETE Journal of Education 34, no. 1 (1993): 27–38. http://dx.doi.org/10.1080/09747338.1993.11436397.

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Kabalan, Karim Y., Ali El-Hajj, Hassan Diab, and Souhier Fakhreddine. "Analog Computer Simulation Using Spreadsheets." SIMULATION 68, no. 2 (1997): 101–6. http://dx.doi.org/10.1177/003754979706800203.

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Kabalan, Karim Y., Ali El-Hajj, and Nabil Wazz. "Graphical Simulation of an Analog Computer." International Journal of Electrical Engineering Education 28, no. 4 (1991): 341–49. http://dx.doi.org/10.1177/002072099102800409.

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Bold, Gary E. J., and S. M. Tan. "Teaching simulation with a ‘‘digital’’ analog computer." American Journal of Physics 53, no. 5 (1985): 437–42. http://dx.doi.org/10.1119/1.14195.

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Sieg, Dave. "Simulation in the analog days." ACM SIGGRAPH Computer Graphics 32, no. 3 (1998): 58–59. http://dx.doi.org/10.1145/281278.281332.

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Rubel, Lee A. "Digital simulation of analog computation and Church's thesis." Journal of Symbolic Logic 54, no. 3 (1989): 1011–17. http://dx.doi.org/10.2307/2274761.

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Church's thesis, that all reasonable definitions of “computability” are equivalent, is not usually thought of in terms of computability by a continuous computer, of which the general-purpose analog computer (GPAC) is a prototype. Here we prove, under a hypothesis of determinism, that the analytic outputs of a C∞ GPAC are computable by a digital computer.In [POE, Theorems 5, 6, 7, and 8], Pour-El obtained some related results. (The proof there of Theorem 7 depends on her Theorem 2, for which the proof in [POE] is incorrect, but for which a correct proof is given in [LIR]. Also, the proof in [PO
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KIERS, KEN, TIM KLEIN, JEFF KOLB, STEVE PRICE, and J. C. SPROTT. "CHAOS IN A NONLINEAR ANALOG COMPUTER." International Journal of Bifurcation and Chaos 14, no. 08 (2004): 2867–73. http://dx.doi.org/10.1142/s0218127404010898.

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We explore the chaotic behavior of a nonlinear electrical circuit constructed with simple components such as diodes and linear operational amplifiers. The circuit may be regarded as a nonlinear analog computer that gives a nearly exact solution of a particular chaotic model. Detailed comparisons between theoretical and experimental bifurcation points and power spectra yield differences of less than 1%.
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Li, Bo, and Guoyong Shi. "A Native SPICE Implementation of Memristor Models for Simulation of Neuromorphic Analog Signal Processing Circuits." ACM Transactions on Design Automation of Electronic Systems 27, no. 1 (2022): 1–24. http://dx.doi.org/10.1145/3474364.

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Since the memristor emerged as a programmable analog storage device, it has stimulated research on the design of analog/mixed-signal circuits with the memristor as the enabler of in-memory computation. Due to the difficulty in evaluating the circuit-level nonidealities of both memristors and CMOS devices, SPICE-accuracy simulation tools are necessary for perfecting the art of neuromorphic analog/mixed-signal circuit design. This article is dedicated to a native SPICE implementation of the memristor device models published in the open literature and develops case studies of applying such a circ
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Abdulhamid, Mohanad, and Mutuku Kavita. "Function Generator Based on Personal Computer." Land Forces Academy Review 26, no. 3 (2021): 243–50. http://dx.doi.org/10.2478/raft-2021-0031.

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Abstract This paper aims to generate the various waveforms commonly used in a laboratory. A computer is used to synthesize the waveforms. It makes use of software to synthesize the waveforms digitally and a Universal Serial Bus (USB) to parallel converter to transmit the digital version of the waveform to a digital to analog converter where it is converted to produce an analog waveform. A buffer is used to display the analog signal on an oscilloscope. Direct Digital Synthesis (DDS) is used to generate these waveforms. MATLAB simulation software is used to perform the DDS, and PROTEUS software
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Jiang, Zhuo Wei, and Chun Ming Gao. "Dynamic Simulation Control Algorithm Based on the Time Domain." Applied Mechanics and Materials 568-570 (June 2014): 1020–25. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1020.

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In view of badly transplanting of analog filter and low cost performance of digital filter for the washing out signal methods used by dynamic simulator, this paper proposed a computer intelligent time domain method. We decompose signal with the computer intelligence in the time domain, and convert the signal into the corresponding movement form respectively, then get the final result by overlaying them. The experimental results show that this method not only can achieve the effect of the traditional methods, better portability and faster computation speed, but also can be achieved directly on
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Dissertations / Theses on the topic "Analog computer simulation"

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Zareba, Grzegorz Szczepan. "Behavioral simulation of analog to digital converters." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/290152.

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The design of high-speed and high-resolution data converters is very difficult due to complexity of architectures used for converting analog signals into their digital representation. Since the introduction of the simplest conversion technique called parallel or flash technique numerous other architectures have been developed, for example n-stage pipeline, reference feed-forward architecture, folding and interpolating technique. The variety of A/D converter architectures additionally complicates design process due to fact that there is no available behavioral simulator, which can be utilized t
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Yang, Jeenmo. "A multi-level simulation technique with emphasis on behavioral simulation and modeling." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/12988.

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Pansare, Manoj M. "Modeling and simulation of analog devices using PRECISE." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/43263.

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The design and development of computer models to simulate analog devices and their effects on circuit applications has been investigated at length. The focus of this research is the development of theoretical and computer models for discrete devices using the popular simulator PRECISE, PRogram for Evaluating Circuits in an Interactive Simulation Environment [3], using a new method for model construction. This new method develops a model approximating the mathematics of the simulation via perturbations and iterations [19]. The models developed by the new method in each case yield a minimum si
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Blum, Richard Alan. "An analog VLSI centroid imager." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/14826.

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Okobiah, Oghenekarho. "Geostatistical Inspired Metamodeling and Optimization of Nanoscale Analog Circuits." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500074/.

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The current trend towards miniaturization of modern consumer electronic devices significantly affects their design. The demand for efficient all-in-one appliances leads to smaller, yet more complex and powerful nanoelectronic devices. The increasing complexity in the design of such nanoscale Analog/Mixed-Signal Systems-on-Chip (AMS-SoCs) presents difficult challenges to designers. One promising design method used to mitigate the burden of this design effort is the use of metamodeling (surrogate) modeling techniques. Their use significantly reduces the time for computer simulation and design sp
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Park, Seungmyon 1977. "Analysis and simulation of a CIC-filter-based multiplexed-input sigma-delta analog-to-digital converter." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86678.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (leaves 80-81).<br>by Seungmyon Park.<br>M.Eng.
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Estep, Joseph Jeremiah. "Analog and numerical experiments investigating force chain influences on the bed physics of dense granular flows." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51768.

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Granular materials are composed of solid, discrete particles and exhibit mechanical properties that range from fluid to solid behavior. Some of the complexity exhibited by granular systems arises due to the long-range order that develops due to particle-particle contact. Inter-particle forces in granular materials often form a distributive network of filamentary force-accommodating chains (i.e. force chains), such that a fraction of the total number of particles accommodates the majority of the forces in the system. The force chain network inherent to a system composed of granular materials co
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Basu, Arindam. "Neural dynamics in reconfigurable silicon." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/39542.

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This work is a first step towards a long-term goal of understanding computations occurring in the brain and using those principles to make more efficient machines. The traditional computing paradigm calls for using digital supercomputers to simulate large scale brain-like neural networks resulting in large power consumption which limits scalability or model detail. For example, IBM's digital simulation of a cat brain with simplistic neurons and synapses consumes power equivalent to that of a thousand houses! Instead of digital methods, this work uses analog processing concepts to develop scala
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George, Suma. "Simulink modeling and implementation of cmos dendrites using fpaa." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44915.

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In this thesis, I have studied CMOS dendrites, implemented them on a reconfigurable analog platform and modeled them using MATLAB Simulink. The dendrite model was further used to build a computational model. I implemented a Hidden Markov Model (HMM) classifier to build a simple YES/NO wordspotter. I also discussed the inter-relation between neural systems, CMOS transistors and HMM networks. The physical principles behind the operation of silicon devices and biological structures are similar. Hence silicon devices can be used to emulate biological structures like dendrites. Dendrites are a bran
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Janicot, Vincent. "Simulation des circuits électroniques RF/Analogiques/Numériques excités par des signaux à modulation complexe." Phd thesis, Université Joseph Fourier (Grenoble), 2002. http://tel.archives-ouvertes.fr/tel-00004464.

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La taille, la complexité et les performances des circuits électroniques de télécommunication sont de plus en plus contraignantes tandis que le temps et le coût de commercialisation doivent être réduits au maximum. Voulant répondre au vide existant sur le marché de la CAO dans ce domaine, ce travail est consacré à la simulation mixte de systèmes de communication complets parcourus par des signaux numériques, des signaux analogiques basse-fréquence, des signaux quasi-périodiques et des signaux RF à modulation digitale complexe. Le premier chapitre du manuscrit présente les différents types de ci
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Books on the topic "Analog computer simulation"

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Saleh, Resve. Mixed-Mode Simulation and Analog Multilevel Simulation. Springer US, 1994.

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Saleh, Resve A. Mixed-mode simulation and analog multilevel simulation. Kluwer Academic, 1994.

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Agee, J. C. Analog computer simulation of Aswan High Dam voltage regulators. Power and Instrumentation Branch, Division of Research and Laboratory Services, Engineering and Research Center, U.S. Dept. of the Interior, Bureau of Reclamation, 1985.

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1953-, Fiegenbaum Mike, ed. Modeling with an analog hardware description language. Kluwer Academic, 1994.

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Pederson, Donald O. Analog Integrated Circuits for Communication: Principles, Simulation and Design. Springer US, 1991.

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Jean-Michel, Bergé, Levia Oz, and Rouillard Jacques, eds. Modeling in analog design. Kluwer Academic Publishers, 1995.

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Bergé, Jean-Michel. Modeling in Analog Design. Springer US, 1995.

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Mahowald, Misha. An analog VLSI system for stereoscopic vision. Kluwer Academic Publishers, 1994.

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Antao, Brian. Modeling and Simulation of Mixed Analog-Digital Systems. Springer US, 1996.

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Technology for modelling: Electrical analogies, engineering practice, and the development of analogue computing. Springer, 2010.

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Book chapters on the topic "Analog computer simulation"

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Rusu, Corneliu, Lacrimioara Grama, and Jarmo Takala. "SPICE Simulation of Analog Filters: A Method for Designing Digital Filters." In Computer Aided Systems Theory - EUROCAST 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04772-5_69.

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Melville, Robert, Shahriar Moinian, Peter Feldmann, and Layne Watson. "Sframe: An Efficient System for Detailed DC Simulation of Bipolar Analog Integrated Circuits Using Continuation Methods." In Computer-Aided Design of Analog Circuits and Systems. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3252-1_2.

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Bhattacharya, Rahul, S. H. M. Ragamai, and Subindu Kumar. "SFG Based Fault Simulation of Linear Analog Circuits Using Fault Classification and Sensitivity Analysis." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7470-7_19.

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Wu, Tony H., Bing J. Sheu, and Eric Y. Chou. "Behavioral Simulation of Densely-Connected Analog Cellular Array Processors for High-Performance Computing." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1405-9_6.

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Antao, Brian A. A. "Guest Editorial Introduction to the Special Issue on Modeling and Simulation of Mixed and Analog-Digital Systems." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1405-9_1.

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Noetscher, Gregory, Peter Serano, Ara Nazarian, and Sergey Makarov. "Computational Tool Comprising Visible Human Project® Based Anatomical Female CAD Model and Ansys HFSS/Mechanical® FEM Software for Temperature Rise Prediction Near an Orthopedic Femoral Nail Implant During a 1.5 T MRI Scan." In Brain and Human Body Modelling 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15451-5_9.

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AbstractThis medical device development tool (MDDT) is categorized as a non-clinical assessment model (NAM). This MDDT is a computational modeling and simulation tool. It can predict heating of metallic orthopedic implants with the radio frequency (RF) electromagnetic fields in the magnetic resonance imaging (MRI) coils while targeting a mid-aged and elderly female population primarily affected by osteoporosis and the associated bone fracture.This MDDT uses a high resolution anatomical female CAD (computer aided design) model coupled with the proven multiphysics finite element method (FEM) software (Ansys Workbench) to simulate the complete MRI environment. The environment is consisting of a tuned MRI coil with the given output power, detailed heterogeneous human model within the coil at the given landmark and a properly embedded metallic implant within the anatomical model to compute the extent of heating generated around the implant.Specifically, this MDDT is the in silico analog of an MRI scan for an elderly female subject with a metallic orthopedic implant at 1.5 T in a full-body birdcage RF coil.
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Douence, Vincent, Arnaud Laflaquière, Sylvie Le Masson, Thierry Bal, and Gwendal Le Masson. "Analog electronic system for simulating biological neurons." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0100485.

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Freese, Maria, and Geertje Bekebrede. "Digital Versus Analogue Simulation Games: Influence on Validity, Play(er) Experience and Learning Outcomes." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63464-3_44.

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Saito, Kenta, Yuki Makita, Vu Quang, and Hitoshi Sasaki. "Development of a Simulator of Abacus: Ancient Analog Calculator on a Mobile Phone as a Teaching Material." In Human-Computer Interaction. Interacting in Various Application Domains. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02583-9_23.

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Rollins, J. Gregory. "Analog Circuit Simulation." In Computer Aided Design and Design Automation. CRC Press, 2018. http://dx.doi.org/10.1201/9781315219103-9.

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Conference papers on the topic "Analog computer simulation"

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O'Donnell, Kevin. "Digital computer simulation of an electronic analog computer." In 2018 IEEE Long Island Systems, Applications and Technology Conference (LISAT). IEEE, 2018. http://dx.doi.org/10.1109/lisat.2018.8378025.

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"Session 8D: Advanced Analog/RF Macromodeling and Simulation." In ICCAD 2004. International Conference on Computer Aided Design. IEEE, 2004. http://dx.doi.org/10.1109/iccad.2004.1382660.

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Shah, Gautam A., and Tejmal S. Rathore. "An Analog Architecture for the Radix-4 DHT." In 2011 UkSim 13th International Conference on Computer Modelling and Simulation (UKSim). IEEE, 2011. http://dx.doi.org/10.1109/uksim.2011.110.

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Xu, Biying, and Ilya Yusim. "Session details: Analog/Mixed-Signal Simulation, Layout, and Packaging (Virtual)." In ICCAD '22: IEEE/ACM International Conference on Computer-Aided Design. ACM, 2022. http://dx.doi.org/10.1145/3578463.

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Chang and Yang. "Analytic macromodeling and simulation of tightly-coupled mixed analog-digital circuits." In IEEE/ACM International Conference on Computer-Aided Design. IEEE Comput. Soc. Press, 1992. http://dx.doi.org/10.1109/iccad.1992.279366.

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"Session 6A - Efficient simulation and synthesis methodologies for analog circuits." In ICCAD-2005. IEEE/ACM International Conference on Computer-Aided Design, 2005. IEEE, 2005. http://dx.doi.org/10.1109/iccad.2005.1560116.

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Tokmakov, Dimitar, and Nevena Mileva. "PROJECT-BASED LEARNING BLENDED COURSE IN COMPUTER MODELING AND SIMULATION IN ANALOG ELECTRONICS." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.1444.

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Yip, T. Gary, and Elizabeth B. Nadworny. "A Successive Approximation ADC Simulation Project." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0067.

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Abstract This paper describes a three week long project designed for first year graduate students in mechanical engineering taking a course in Modern Instrumentation. The project entails constructing a successive approximation analog-to-digital converter without a controller, developing a control sequence, and implementing it to produce a digital representation of an analog input voltage. The course is made up of a series of laboratory activities that start with the fundamentals of equipment control and data acquisition, then increase in difficulty by requiring students to develop systems and
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Mada, Subha, and Srinivas Mandalika. "Analog Implementation of Artificial Neural Networks Using Forward Only Computation." In 2017 Asia Modelling Symposium (AMS). 11th International Conference on Mathematical Modelling & Computer Simulation. IEEE, 2017. http://dx.doi.org/10.1109/ams.2017.10.

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Novosiadlyi, Stepan, Volodymyr Gryga, Volodymyr Lukovkin, and Volodymyr Mandzyuk. "Simulation of Frequency Properties of Operational Amplifiers in Analog-Digital Signal Processing Devices." In 2019 9th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2019. http://dx.doi.org/10.1109/acitt.2019.8779868.

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