Academic literature on the topic 'Monotonic switching'
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Journal articles on the topic "Monotonic switching"
Wang, Hao, Lungui Zhong, and Guocheng Zhang. "Low-Power Capacitor-Splitting DAC with Mixed Switching Schemes for SAR ADCs." Journal of Circuits, Systems and Computers 27, no. 10 (May 24, 2018): 1850161. http://dx.doi.org/10.1142/s021812661850161x.
Full textSong, Hyeonho, and Minjae Lee. "Asymmetric monotonic switching scheme for energy-efficient SAR ADCs." IEICE Electronics Express 11, no. 12 (2014): 20140345. http://dx.doi.org/10.1587/elex.11.20140345.
Full textZhu, Zhangming, Yu Xiao, and Xiaoli Song. "V CM ‐based monotonic capacitor switching scheme for SAR ADC." Electronics Letters 49, no. 5 (February 2013): 327–29. http://dx.doi.org/10.1049/el.2012.3332.
Full textChen, Yushi, Yiqi Zhuang, and Hualian Tang. "An Ultra-Low Power Consumption High-Linearity Switching Scheme for SAR ADC." Journal of Circuits, Systems and Computers 29, no. 06 (August 2, 2019): 2050086. http://dx.doi.org/10.1142/s0218126620500863.
Full textChang, Ke, Pei Liu, Lei Dong, and Guohe Zhang. "A two-step asymmetric alternate monotonic switching scheme for SAR ADCs." Analog Integrated Circuits and Signal Processing 102, no. 3 (March 2020): 625–35. http://dx.doi.org/10.1007/s10470-020-01615-y.
Full textМоргунов, Р. Б., А. И. Безверхний, О. С. Дмитриев, and M. В. Бахметьев. "Условия возникновения спонтанной осциллирующей магнитной релаксации в синтетических ферримагнетиках Pt/Co/Ir/Co/Pt." Физика твердого тела 62, no. 3 (2020): 407. http://dx.doi.org/10.21883/ftt.2020.03.49005.583.
Full textHSU, CHENG-HSIUNG, CHUN-HSIEN LI, and SUH-YUH YANG. "DIVERSITY OF TRAVELING WAVE SOLUTIONS IN DELAYED CELLULAR NEURAL NETWORKS." International Journal of Bifurcation and Chaos 18, no. 12 (December 2008): 3515–50. http://dx.doi.org/10.1142/s0218127408022561.
Full textBonança, Marcus V. S. "Non-Monotonic Behavior of the Thermodynamic Work as a Function of Switching Time." Brazilian Journal of Physics 46, no. 3 (October 7, 2015): 248–53. http://dx.doi.org/10.1007/s13538-015-0370-7.
Full textVerma, Deeksha, Khuram Shehzad, Danial Khan, Sung Jin Kim, Young Gun Pu, Sang-Sun Yoo, Keum Cheol Hwang, Youngoo Yang, and Kang-Yoon Lee. "A Design of Low-Power 10-bit 1-MS/s Asynchronous SAR ADC for DSRC Application." Electronics 9, no. 7 (July 6, 2020): 1100. http://dx.doi.org/10.3390/electronics9071100.
Full textDyda, Alexander A., Nguyen Van Thanh Van Thanh, and Ksenya N. Chumakova. "Vessel heading control systems with switchable regulators." Russian Journal of Water Transport, no. 67 (June 15, 2021): 169–77. http://dx.doi.org/10.37890/jwt.vi67.188.
Full textDissertations / Theses on the topic "Monotonic switching"
Ganguli, Ameya Vivekanand. "Cmos Design of an 8-bit 1MS/s Successive Approximation Register ADC." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2074.
Full textPotechin, Aaron H. "Analyzing monotone space complexity via the switching network model." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99066.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 177-179).
Space complexity is the study of how much space/memory it takes to solve problems. Unfortunately, proving general lower bounds on space complexity is notoriously hard. Thus, we instead consider the restricted case of monotone algorithms, which only make deductions based on what is in the input and not what is missing. In this thesis, we develop techniques for analyzing monotone space complexity via a model called the monotone switching network model. Using these techniques, we prove tight bounds on the minimal size of monotone switching networks solving the directed connectivity, generation, and k-clique problems. These results separate monotone analgoues of L and NL and provide an alternative proof of the separation of the monotone NC hierarchy first proved by Raz and McKenzie. We then further develop these techniques for the directed connectivity problem in order to analyze the monotone space complexity of solving directed connectivity on particular input graphs.
by Aaron H. Potechin.
Ph. D.
Bénézet, Cyril. "Study of numerical methods for partial hedging and switching problems with costs uncertainty." Thesis, Université de Paris (2019-....), 2019. http://www.theses.fr/2019UNIP7079.
Full textIn this thesis, we give some contributions to the theoretical and numerical study to some stochastic optimal control problems, and their applications to financial mathematics and risk management. These applications are related to weak pricing and hedging of financial products and to regulation issues. We develop numerical methods in order to compute efficiently these quantities, when no closed formulae are available. We also study backward stochastic differential equations linked to some new switching problems, with costs uncertainty
Su, Shiou-Wei, and 蘇修緯. "A 10-bit Successive Approximation Register ADCWith Monotonic Capacitor Switching Procedure." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/95871280610812041429.
Full textTseng, Shih-Ying, and 曾世穎. "A Differential High Speed Asynchronous Successive Approximation Register ADC With Monotonic Capacitor Switching Procedure." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/29325643947363123037.
Full text國立中興大學
電機工程學系所
102
This thesis describes two differential high-speed asynchronous successive approximation analog to digital converters, compared to the single-ended successive approximation analog-to-digital converter, the differentia structure can improve the sampling frequency of the analog-to-digital converter. In addition, the design can effectively enhance the sampling frequency by reduce the delay time of the critical path in digital control logic circuit. With TSMC 90 nm CMOS Mixed Signal RF Low Power Standard Process LowK Cu 1P9M 1.2V process, the sampling frequencies are, respectively, 66M Sample / s and 166M Sample / s. TSMC 90 nm CMOS Mixed Signal RF Low Power Standard Process LowK Cu 1P9M 1.2V process produces a chip area -- 0.921*0.556 mm2 with sarf2_12_decouple chip (10 bits) .The supply voltage is 1.2V, the sampling frequency is 66MS / s, input sine wave frequency is 10MHz (amplitude is 0.2V-1.0V), and measured the effective number of bits is 6.86. Input sine wave frequency is 100kHz, the measured differential nonlinearity ranged between -1LSB~5.25LSB, integral nonlinearity ranged between -5.20LSB~3.16LSB, the total power consumption is 4.78mW ,FOM is 0.624pJ / Conversion-step. TSMC 90 nm CMOS Mixed Signal RF Low Power Standard Process LowK Cu 1P9M 1.2V process produces a chip area -- 0.921*0.520 mm2 with sarf2_31_decouple chip (8 bits) .The supply voltage is 1.2V & 1.4V, the sampling frequency is 166MS / s, input sine wave frequency is 20MHz (amplitude is 0.2V-1.0V), and measured the effective number of bits is 5.67. Input sine wave frequency is 200kHz, the measured differential nonlinearity ranged between -1LSB~2.07LSB, integral nonlinearity ranged between -0.76LSB~3.76LSB, the total power consumption is 11.58mW ,FOM is 3.3pJ / Conversion-step.
Tung, Wei, and 童偉. "A DIGITALLY CALIBRATED 11-BIT 10-MS/s SAR ADC WITH MONOTONIC SWITCHING SPLIT CAPACITOR ARRAY." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/89282578310273443460.
Full text大同大學
電機工程學系(所)
104
In this thesis, a digitally calibrated 11 bit 10MS/s asynchronous differential SAR ADC is presented. A monotonic capacitor switching procedure is used in the design, such that the input pair of the comparator converges to the ground. In this structure, the differential inputs are sample to the input pair of the comparator, where the MSB can be determined without using MSB capacitor. In order to further reduce the area, this design uses split capacitor structure, which affects the linearity of the system. A digital calibration method is proposed to minimize the effects including capacitor mismatch and the bridge parasitic capacitor. The SAR ADC is implemented with a 0.18um CMOS technology. At a 1.8-V supply and 10 MS/s, the ADC achieves an SNDR of 65.2 dB and consumes 0.62 mW, resulting in a figure of merit (FOM) of 21 fJ/conversion-step. The ADC core occupies an active area of 350m 350m.
Conference papers on the topic "Monotonic switching"
Osipov, Dmitry, and Steffen Paul. "Two-step monotonic switching scheme for low-power SAR ADCs." In 2017 15th IEEE International New Circuits and Systems Conference (NEWCAS). IEEE, 2017. http://dx.doi.org/10.1109/newcas.2017.8010141.
Full textHong, Xiang, Chenchen Yang, and Xiaojie Zhang. "An energy-efficient SAR ADC with a partial-monotonic capacitor switching technique." In 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2017. http://dx.doi.org/10.1109/iaeac.2017.8054377.
Full textLi, Lun, Dongsheng Liu, Weila Lei, Yu Hu, Xuecheng Zou, and Dawei Li. "A low power charge-redistribution SAR ADC with a monotonic switching procedure." In 2014 IEEE 12th International Conference on Solid -State and Integrated Circuit Technology (ICSICT). IEEE, 2014. http://dx.doi.org/10.1109/icsict.2014.7021548.
Full textBurcea, Florin, Husni Habal, and Helmut Graeb. "A novel analytical model for the static behavior of a monotonic-switching charge-scaling ADC." In 2016 12th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME). IEEE, 2016. http://dx.doi.org/10.1109/prime.2016.7519453.
Full textXie, Yun, Jiwei Wen, Li Peng, and Howard Wang. "Robust H∞ control of average dwell time switching systems via non-monotonic lyapunov function approach." In 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE). IEEE, 2017. http://dx.doi.org/10.1109/ccsse.2017.8087886.
Full textEddine, Ouerfelli Houssem, Ben Attia Selma, and Salhi Salah. "Monotonic convergence switching iterative learning tracking control for a class of continuous time switched systems." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963652.
Full textMishra, Kirti D., and K. Srinivasan. "Iterative Learning Control for Hybrid Systems." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3191.
Full textFilmus, Yuval, Toniann Pitassi, Robert Robere, and Stephen A. Cook. "Average Case Lower Bounds for Monotone Switching Networks." In 2013 IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2013. http://dx.doi.org/10.1109/focs.2013.70.
Full textPotechin, Aaron. "Bounds on Monotone Switching Networks for Directed Connectivity." In 2010 IEEE 51st Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2010. http://dx.doi.org/10.1109/focs.2010.58.
Full textChan, Siu Man, and Aaron Potechin. "Tight bounds for monotone switching networks via fourier analysis." In the 44th symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2213977.2214024.
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