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71 publication results matching 'resonance for spectrum'

Carbon-13 nuclear magnetic resonance spectrum simulationPeter C. Jurs, Jon W. Ball, Lawrence S. Anker, Todd L. Friedman. jcisd, 32(4):272-278, 1992. [doi]
Database retrieval techniques for carbon-13 nuclear magnetic resonance spectrum simulationGary W. Small. jcisd, 32(4):279-285, 1992. [doi]
Simulation of Magnetic Resonance Spectrum of Dipolar Coupled Electronic SystemShengya Wang, Xudong Lv. iccms 2019: 60-65 [doi]
Lorentzian-Model-Based Bayesian Analysis for Automated Estimation of Attenuated Resonance SpectrumKailiang Xu, Guillaume Marrelec, Simon Bernard, Quentin Grimal. tsp, 67(1):4-16, 2019. [doi]
Model order selection for quantification of a multi-exponential magnetic resonance spectrumA. Devos, N. Bergans, Tom Dresselaers, Jos De Brabanter, Diana Maria Sima, Leentje Vanhamme, F. Vanstapel, P. Van Hecke, Sabine Van Huffel. embc 2006: 1299-1302 [doi]
Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communicationsHaftu Tasew Reda, Abdun Naser Mahmood, Abebe Abeshu Diro, Naveen K. Chilamkurti, Suresh Kallam. nca, 32(20):16011-16023, 2020. [doi]
Adaptive Bistable Stochastic Resonance Aided Spectrum SensingJun Wang, Xin Ren, Shaowen Zhang, Daiming Zhang, Husheng Li, Shaoqian Li. TWC, 13(7):4014-4024, 2014. [doi]
Adaptive bistable stochastic resonance aided spectrum sensingShaowen Zhang, Jun Wang, Shaoqian Li. icc 2013: 2622-2626 [doi]
Assignment of the 13C nuclear magnetic resonance spectrum of a short DNA-duplex with 1H-detected two-dimensional heteronuclear correlation spectroscopyW. Leupin, G. Wagner, W. A. Denny, K. Wuthrich. nar, 15(1):267-275, 1987.
Improvement in the accuracy of Nuclear Magnetic Resonance spectrum analysis by automatic tuning of phase correction algorithmsFranciszek Binczyk, Rafal Tarnawski, Joanna Polanska. iwbbio 2014: 778-788 [doi]
An advanced beamforming approach based on two-channel echo-train system to cancel interference within an NQR signal resonance spectrumWeihang Shao, Jamie Barras, Panagiotis Kosmas. sigpro, 154:136-147, 2019. [doi]
A Novel Detector Based on Adaptive Bistable Stochastic Resonance for Spectrum Sensing at Low Signal-to-Noise RatioJin Liu, Zan Li, Qiguang Miao, Li Yang. nana 2023: 64-71 [doi]
Maize haploid recognition study based on nuclear magnetic resonance spectrum and manifold learningWenzhang Ge, Jinlong Li, Yaqian Wang, Xiaoning Yu, Dong An, Shaojiang Chen. cea, 170:105219, 2020. [doi]
Resonance Spectrum Characteristics of Effective Electromechanical Coupling Coefficient of High-Overtone Bulk Acoustic ResonatorJian Li, Meng-wei Liu, Cheng-hao Wang. micromachines, 7(9):159, 2016. [doi]
Novel Piecewise Normalized Bistable Stochastic Resonance Strengthened Cooperative Spectrum SensingBin Jiang 0008, Yuefei Cao, Jianrong Bao, Chao Liu 0011, Xianghong Tang. tccn, 9(5):1167-1182, October 2023. [doi]
Stochastic Resonance Noise Enhanced Spectrum Sensing in Cognitive Radio NetworksWei Chen, Jun Wang, Husheng Li, Shaoqian Li. globecom 2010: 1-6 [doi]
Synthesize Nuclear Magnetic Resonance T2 Spectrum From Conventional Logging Responses With Spectrum Regression ForestYile Ao, Wenkai Lu, Qiuyuan Hou, Bowu Jiang. lgrs, 18(10):1726-1730, 2021. [doi]
Inversion Method of Two-dimensional Low-field Nuclear Magnetic Resonance Relaxation Spectrum Using Primal-dual Interior Method For Convex ObjectivesGuanqun Su, Lijia Wang, Xiaolong Zhou, Shengdong Nie. jmihi, 9(5):993-999, 2019. [doi]
A Novel Wireless Positioning Approach Based on Distributed Stochastic-Resonance-Enhanced Power Spectrum Fusion TechniqueDi He, Xin Chen 0017, Danping Zou, Ling Pei, Lingge Jiang. iscas 2019: 1-5 [doi]
Spread Spectrum Magnetic Resonance ImagingGilles Puy, José P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux. tmi, 31(3):586-598, 2012. [doi]

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