Academic literature on the topic 'VLSI analog circuits'

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Journal articles on the topic "VLSI analog circuits"

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Bartolozzi, Chiara, and Giacomo Indiveri. "Synaptic Dynamics in Analog VLSI." Neural Computation 19, no. 10 (2007): 2581–603. http://dx.doi.org/10.1162/neco.2007.19.10.2581.

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Synapses are crucial elements for computation and information transfer in both real and artificial neural systems. Recent experimental findings and theoretical models of pulse-based neural networks suggest that synaptic dynamics can play a crucial role for learning neural codes and encoding spatiotemporal spike patterns. Within the context of hardware implementations of pulse-based neural networks, several analog VLSI circuits modeling synaptic functionality have been proposed. We present an overview of previously proposed circuits and describe a novel analog VLSI synaptic circuit suitable for integration in large VLSI spike-based neural systems. The circuit proposed is based on a computational model that fits the real postsynaptic currents with exponentials. We present experimental data showing how the circuit exhibits realistic dynamics and show how it can be connected to additional modules for implementing a wide range of synaptic properties.
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Chieh-Yuan Chao, Hung-Jen Lin, and L. Miler. "Optimal testing of VLSI analog circuits." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 16, no. 1 (1997): 58–77. http://dx.doi.org/10.1109/43.559332.

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Zarabadi, S. R., M. Ismail, and Chung-Chih Hung. "High performance analog VLSI computational circuits." IEEE Journal of Solid-State Circuits 33, no. 4 (1998): 644–49. http://dx.doi.org/10.1109/4.663572.

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Card, H. C., and W. R. Moore. "VLSI DEVICES AND CIRCUITS FOR NEURAL NETWORKS." International Journal of Neural Systems 01, no. 02 (1989): 149–65. http://dx.doi.org/10.1142/s0129065789000062.

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This paper provides a tutorial of various VLSI approaches to synthesizing artificial neural networks as microelectronic systems. The means by which the network learns and the synaptic weights become modified is a central theme in this study. The majority of the presentation is concerned with analog circuit approaches to neurons and synapses, employing CMOS circuits. Also included is recent work towards VLSI in situ learning circuits which implement qualitative approximations to Hebbian learning with economy of transistors. An attempt is also made to anticipate relevant developments in VLSI devices which would be suited to neural networks, just as conventional MOS transistors are well suited to traditional digital computer systems.
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Vasudeva, G., and Uma B. V. "22nm FINFET Based High Gain Wide Band Differential Amplifier." International Journal of Circuits, Systems and Signal Processing 15 (February 5, 2021): 55–62. http://dx.doi.org/10.46300/9106.2021.15.7.

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Differential Amplifier is a primary building block of analog and mixed signal circuit for pre-processing and signal conditioning of analog signal. FINFET devices with high-k gate oxide at 22nm technology are predominantly used for high speed and low power complex VLSI circuits. FINFET based differential amplifiers are widely used in ADC’s and signal Processing applications due to their advantages in terms of power dissipation. Analog front end of complex VLSI circuits need to offer high gain, higher stability and low noise figure. Designing of FINFET based VLSI sub-circuits requires proper design procedure that can provide designers flexibility in controlling the circuit performances. In this paper, differential amplifier is designed using model parameters of high-k FINFET in 22nm technology. The conventional procedures for designing MOSFET based differential amplifier are modified for designing FINFET based differential amplifier. Schematic capture is carried out in Cadence environment and simulations are obtained considering 22nm FINFET PDK. The performance metrics are evaluated and optimized considering multiple iterations. The designed differential amplifier has slew rate of 6V/µSec and settling time of 0.9 µSec which is a desired metric for ADCs. Power Supply Rejection Ratio (PSRR) is 83 dB and dynamic range is 1.6754 V. Open loop DC gain of DA is achieved to be 103 dB with phase margin of 630 that demonstrates the advantages of DA designed in this work suitable for analog front end
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Maher, M. A. C., S. P. Deweerth, M. A. Mahowald, and C. A. Mead. "Implementing neural architectures using analog VLSI circuits." IEEE Transactions on Circuits and Systems 36, no. 5 (1989): 643–52. http://dx.doi.org/10.1109/31.31311.

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Indiveri, Giacomo. "Modeling Selective Attention Using a Neuromorphic Analog VLSI Device." Neural Computation 12, no. 12 (2000): 2857–80. http://dx.doi.org/10.1162/089976600300014755.

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Attentional mechanisms are required to overcome the problem of flooding a limited processing capacity system with information. They are present in biological sensory systems and can be a useful engineering tool for artificial visual systems. In this article we present a hardware model of a selective attention mechanism implemented on a very large-scale integration (VLSI) chip, using analog neuromorphic circuits. The chip exploits a spike-based representation to receive, process, and transmit signals. It can be used as a transceiver module for building multichip neuromorphic vision systems. We describe the circuits that carry out the main processing stages of the selective attention mechanism and provide experimental data for each circuit. We demonstrate the expected behavior of the model at the system level by stimulating the chip with both artificially generated control signals and signals obtained from a saliency map, computed from an image containing several salient features.
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Koch, Christof. "Seeing Chips: Analog VLSI Circuits for Computer Vision." Neural Computation 1, no. 2 (1989): 184–200. http://dx.doi.org/10.1162/neco.1989.1.2.184.

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Vision is simple. We open our eyes and, instantly, the world surrounding us is perceived in all its splendor. Yet Artificial Intelligence has been trying with very limited success for over 20 years to endow machines with similar abilities. A large van, filled with computers and driving unguided at a mile per hour across gently sloping hills in Colorado and using a laser-range system to “see” is the most we have accomplished so far. On the other hand, computers can play a decent game of chess or prove simple mathematical theorems. It is ironic that we are unable to reproduce perceptual abilities which we share with most animals while some of the features distinguishing us from even our closest cousins, chimpanzees, can be carried out by machines. Vision is difficult.
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Ismail, Mohammed, Robert Brannen, Shigetaka Takagi, et al. "Configurable CMOS multiplier/divider circuits for analog VLSI." Analog Integrated Circuits and Signal Processing 5, no. 3 (1994): 219–34. http://dx.doi.org/10.1007/bf01261414.

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Lopez-Martin, Antonio J., and Alfonso Carlosena. "Design of MOS-translinear Multiplier/Dividers in Analog VLSI." VLSI Design 11, no. 4 (2000): 321–29. http://dx.doi.org/10.1155/2000/21852.

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A general framework for designing current-mode CMOS analog multiplier/divider circuits based on the cascade connection of a geometric-mean circuit and a squarer/divider is presented. It is shown how both building blocks can be readily obtained from a generic second-order MOS translinear loop. Various implementations are proposed, featuring simplicity, favorable precision and wide dynamic range. They can be successfully employed in a wide range of analog VLSI processing tasks. Experimental results of two versions, based on stacked and folded MOS-translinear loops and fabricated in a 2.4-μm CMOS process, are provided in order to verify the correctness of the proposed approach.
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Dissertations / Theses on the topic "VLSI analog circuits"

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Tavakoli, Dastjerdi Maziar 1976. "Analog VLSI circuits for inertial sensory systems." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86766.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (leaves 67-68).<br>by Maziar Tavakoli Dastjerdi.<br>S.M.
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Huang, Shu-Chuan. "Systematic design solutions for analog VLSI circuits /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487850665560538.

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Wilson, Denise M. "Analog VLSI architecture for chemical sensing microsystems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13322.

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Motamed, Ali. "Low-voltage analog VLSI circuits and signal processing /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487942182325593.

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Morris, Tonia Gay. "Analog VLSI visual attention systems." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/15010.

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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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Bridges, Seth. "Low-power visual pattern classification in analog VLSI /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6984.

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Zarabadi, Seyed Ramezan. "Design of analog VLSI circuits in BICMOS/CMOS technology /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487777170407338.

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To, Hing-yan. "Statistical Analysis and Design Techniques for Analog VLSI Circuits /." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487928649989917.

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Jangkrajarng, Nuttorn. "Analog/RF VLSI layout generation : layout retargeting via symbolic template /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6084.

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Books on the topic "VLSI analog circuits"

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1959-, Dündar Günhan, and Öğrenci A. Selçuk, eds. Analog VLSI design automation. CRC Press, 2003.

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Analog VLSI and neural systems. Addison-Wesley, 1989.

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Takefuji, Yoshiyasu. Analog VLSI neural networks. Springer, 1993.

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CMOS nanoelectronics: Analog and RF VLSI circuits. McGraw-Hill, 2011.

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Mohammed, Ismail. Analog VLSI: Signal and information processing. McGraw-Hill, 1994.

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Terri, Fiez, ed. Analog VLSI: Signal and information processing. McGraw-Hill, 1994.

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Maloberti, F. Analog design for CMOS VLSI systems. Kluwer Academic, 2001.

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E, Allen P., and Strader Noel R, eds. VLSI design techniques for analog and digital circuits. McGraw, 1990.

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E, Allen P., and Strader Noel R, eds. VLSI design techniques for analog and digital circuits. McGraw-Hill Pub. Co., 1990.

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Jabri, M. A. Adaptive analog VLSI neural systems. Chapman & Hall, 1996.

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Book chapters on the topic "VLSI analog circuits"

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Uyemura, John P. "Analog CMOS Circuits." In Circuit Design for CMOS VLSI. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3620-8_9.

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Rigby, Graham. "MOS devices and circuits." In Adaptive Analog VLSI Neural Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0525-5_3.

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Watola, David A., and Jack L. Meador. "Competitive Learning in Asynchronous-Pulse-Density Integrated Circuits." In Analog VLSI Neural Networks. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3582-9_7.

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Card, Howard C., Dean K. McNeill, and Christian R. Schneider. "Analog VLSI Circuits for Competitive Learning Networks." In Cellular Neural Networks and Analog VLSI. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-4730-0_6.

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Card, Howard C. "Analog VLSI Neural Learning Circuits — A Tutorial." In VLSI for Neural Networks and Artificial Intelligence. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1331-9_1.

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Shi, Guoyong, Sheldon X. D. Tan, and Esteban Tlelo Cuautle. "Symbolic Nodal Analysis of Analog Circuits Using Nullors." In Advanced Symbolic Analysis for VLSI Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1103-5_9.

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Negreiros, Marcelo, and Luigi Carro. "On-line testing of analog circuits by adaptive filters." In VLSI: Integrated Systems on Silicon. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35311-1_5.

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Shi, Guoyong, Sheldon X. D. Tan, and Esteban Tlelo Cuautle. "Performance Bound Analysis of Analog Circuits Considering Process Variations." In Advanced Symbolic Analysis for VLSI Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1103-5_11.

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Renovell, M., M. Lubaszewski, S. Mir, F. Azais, and Y. Bertrand. "A Multi-Mode Signature Analyzer for Analog and Mixed Circuits." In VLSI: Integrated Systems on Silicon. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35311-1_6.

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Shen, Ruijing, Sheldon X. D. Tan, and Hao Yu. "Performance Bound Analysis of Variational Linearized Analog Circuits." In Statistical Performance Analysis and Modeling Techniques for Nanometer VLSI Designs. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0788-1_14.

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Conference papers on the topic "VLSI analog circuits"

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De Vito and Ishikawa. "Fundamental limits to analog scaling." In 1993 Symposium on VLSI Circuits. IEEE, 1993. http://dx.doi.org/10.1109/vlsic.1993.920558.

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Ginetti, Vandemeulebroecke, and Jespers. "RSD cyclic analog-to-digital converter." In 1993 Symposium on VLSI Circuits. IEEE, 1988. http://dx.doi.org/10.1109/vlsic.1988.1037455.

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Wooley. "High-performance analog-to-digital converters." In 1993 Symposium on VLSI Circuits. IEEE, 1989. http://dx.doi.org/10.1109/vlsic.1989.1037484.

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Lee, Hae-Seung. "Limits of Power Consumption in Analog Circuits." In 2007 IEEE Symposium on VLSI Circuits. IEEE, 2007. http://dx.doi.org/10.1109/vlsic.2007.4342674.

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Spencer and Sturm. "A continuous-time analog moment calculating circuit." In 1993 Symposium on VLSI Circuits. IEEE, 1988. http://dx.doi.org/10.1109/vlsic.1988.1037448.

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Koziol, Scott, and Paul Hasler. "Reconfigurable Analog VLSI circuits for robot path planning." In 2011 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). IEEE, 2011. http://dx.doi.org/10.1109/ahs.2011.5963964.

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"SESSION 14 - Analog Circuit Techniques." In 2004 Symposium on VLSI Circuits. Digest of Technical Papers. IEEE, 2004. http://dx.doi.org/10.1109/vlsic.2004.1346562.

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Haller and Wooley. "A 700-MHz switched capacitor analog waveform sampling circuit." In 1993 Symposium on VLSI Circuits. IEEE, 1993. http://dx.doi.org/10.1109/vlsic.1993.920569.

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Hester, Tan, de Wit, et al. "Analog-to-digital converter with non-linear capacitor compensation." In 1993 Symposium on VLSI Circuits. IEEE, 1989. http://dx.doi.org/10.1109/vlsic.1989.1037487.

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Thakur, Sandeep, K. V. V. Satyanarayana, and K. Chinna Malla Reddy. "Diagnosis of parametric faults in linear analog VLSI circuits." In 2016 10th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2016. http://dx.doi.org/10.1109/isco.2016.7726995.

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Reports on the topic "VLSI analog circuits"

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Lin, Jyhfong, Yagyensh Pati, Thomas Edwards, and Shihab Shamma. Analog VLSI Implementations of Auditory Wavelet Transforms Using Switched-Capacitor Circuits. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada455019.

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