نتایج جستجو برای: average power constraint

تعداد نتایج: 906042  

Journal: :Computer Communications 2009
Yanbo Ma Haixia Zhang Dongfeng Yuan Hsiao-Hwa Chen

This paper proposes a novel power control policy for a cognitive radio network as an effort to maximize throughput under the average interference power constraint. The underlined policy ensures delay-related quality of service (QoS) requirements with reduced interference to the primary user. In this work we also take into account the peak and average transmit power constraints for the secondary...

2008

Adaptive transmission technique adopting rectangularlypulsed orthogonally multiplexed modulation (OMM) signals is studied for the flat Rayleigh fading channel. By choosing spectrally efficient OMM signals in accordance with channel status under an error rate constraint, constantpower adaptive OMM systems are shown to significantly outperform the conventional constant-power adaptive orthogonal f...

رشیدی نژاد, مسعود , روح الامینی, مهدی ,

The simultaneous scheduling of energy and primary reserve is one of most important recent researches. However, in these researches, operation constraints and transmission limitations have been neglected. So it is possible that the power flow results be infeasible since some real constraints are not considered. In this paper congestion constraint in transmission lines, technical capabilities and...

In design of a parallel resonant induction heating system, choosing a proper capacitancefor the resonant circuit is quite important. The capacitance affects the resonant frequency, outputpower, Q-factor, heating efficiency and power factor. In this paper, the role of equivalent seriesresistance (ESR) in the choice of capacitance is significantly recognized. Optimal value of resonancecapacitor i...

Journal: :The Quarterly Review of Economics and Finance 2018

Journal: :IEEE Transactions on Communications 2011

Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...

2001
T. E. Coan V. Fadeyev Y. Maravin I. Narsky R. Stroynowski J. Ye T. Wlodek M. Artuso J. Wu S. Kopp A. H. Mahmood S. E. Csorna I. Danko K. W. McLean Z. Xu R. Godang G. Bonvicini D. Cinabro M. Dubrovin S. McGee G. J. Zhou E. Lipeles S. P. Pappas M. Schmidtler A. Shapiro W. M. Sun A. J. Weinstein F. Würthwein D. E. Jaffe G. Masek H. P. Paar E. M. Potter S. Prell D. M. Asner A. Eppich T. S. Hill R. J. Morrison R. A. Briere G. P. Chen W. T. Ford A. Gritsan J. Roy J. G. Smith S. W. Gray D. L. Hartill B. K. Heltsley P. I. Hopman L. Hsu C. D. Jones J. Kandaswamy G. E. Gladding G. D. Gollin S. Ahmed M. S. Alam S. B. Athar M. M. Zoeller S. J. Richichi H. Severini P. Skubic A. Undrus

We have measured the CP asymmetry ACP ≡ (Γ(b → sγ) − Γ(b̄ → s̄γ))/(Γ(b → sγ) + Γ(b̄ → s̄γ)) to be ACP = (−0.079 ± 0.108 ± 0.022)(1.0 ± 0.030), implying that, at 90% confidence level, ACP lies between –0.27 and +0.10. These limits rule out some extreme non-Standard-Model predictions, but are consistent with most, as well as with the Standard Model.

2017
Darin Acosta Kenneth A. Bloom D. Amidei A. Anastassov K. Anikeev A. Annovi J. Antos M. Aoki G. Apollinari T. Arisawa J-F. Arguin A. Artikov W. Ashmanskas A. Attal F. Azfar P. Azzi-Bacchetta N. Bacchetta H. Bachacou W. Badgett A. Barbaro-Galtieri G. J. Barker V. E. Barnes B. A. Barnett S. Baroiant G. Bauer F. Bedeschi S. Behari S. Belforte G. Bellettini J. Bellinger A. Belloni E. Ben-Haim D. Benjamin A. Beretvas A. Bhatti M. Binkley D. Bisello M. Bishai R. E. Blair J. P. Chou S. Chuang K. Chung W. T. Fedorko

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