Images with Uncertainty Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and Their Applications to Geosciences (2007).pdf
标签： Registration Uncertainty Algorithms Efficient
上传时间： 2016-08-23
上传用户：zhaiye
Frequently, voltage reference stability and noise defi nemeasurement limits in instrumentation systems. In particular,reference noise often sets stable resolution limits.Reference voltages have decreased with the continuingdrop in system power supply voltages, making referencenoise increasingly important. The compressed signalprocessing range mandates a commensurate reductionin reference noise to maintain resolution. Noise ultimatelytranslates into quantization Uncertainty in A to D converters,introducing jitter in applications such as scales, inertialnavigation systems, infrared thermography, DVMs andmedical imaging apparatus. A new low voltage reference,the LTC6655, has only 0.3ppm (775nV) noise at 2.5VOUT.Figure 1 lists salient specifi cations in tabular form. Accuracyand temperature coeffi cient are characteristic ofhigh grade, low voltage references. 0.1Hz to 10Hz noise,particularly noteworthy, is unequalled by any low voltageelectronic reference.
上传时间： 2013-10-30
上传用户：wxhwjf
A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter Uncertainty and unmodeled dynamics.
标签： augmenting presented adaptive extended
上传时间： 2014-01-05
上传用户：qq1604324866
A new cable fault location method based on wavelet reconstruction is proposed. In this method the difference between the currents of faulty phase and sound phase under the high voltage pulse excitation is used as the measured signal and is decomposed in multi-scale by wavelet transform, then reconstructed in single scale. Comparing with traditional fault location method by travelling wave, the presented method will not be interfered by the reflected wave from the branch joint of cables or from other positions where the impedances are not matched and not be influenced by fault types, otherwise, the reflected waves can be recognized even the faulty position is near to the measuring terminal, at the same time, the influence of the wave speed Uncertainty can be reduced. The correctness of the proposed method is proved by simulation results.
标签： method reconstruction location proposed
上传时间： 2016-02-04
上传用户：maizezhen
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform Uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in Uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or Uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
This book presents, in a unitary and novel perspective, some of the research work the authors have carried out over the last decade, along with several collaborators and students. The roots of this book can be traced back to the design of adaptive sequence detection algorithms for channels with parametric Uncertainty. The explosion of turbo codes and iterative decoding around the middle of the Nineties has motivated the design of iterative (turbo and graph-based) detection algorithms.
标签： Communications Algorithms Detection Wireless for
上传时间： 2020-05-27
上传用户：shancjb
A modern power grid needs to become smarter in order to provide an affordable, reliable, and sustainable supply of electricity. For these reasons, a smart grid is necessary to manage and control the increasingly complex future grid. Certain smart grid elements including renewable energy, storage, microgrid, consumer choice, and smart appliances like electric vehicles increase Uncertainty in both supply and demand of electric power.
标签： Intelligent Management Microgrid
上传时间： 2020-06-07
上传用户：shancjb
The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of Uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
上传时间： 2020-06-10
上传用户：shancjb
准确量化和预测陆地生态系统碳水通量对于理解陆气间相互作用，预测未来气候变化和控制温室效应具有重要意义。通量观测和模型模拟是目前研究碳水通量的两种主要方法。通量观测精度较高，但观测范围局限、站点分布不均匀，易受环境影响，难以区域扩展；模型模拟可实现不同尺度参量估算，但由于理想化假设、模型参数和驱动数据等限制，导致其模拟结果往往与真实值存在较大偏差。模型-数据融合方法主要是通过参数估计和数据同化两种技术集成观测和模型信息，建立两者相互制约调节的优化关系，以提高模型结果与真实值之间的匹配程度。基于该思路，本研究在地面观测数据、遥感卫星资料以及相关气候环境数据基础上，重点突破全球动态植被模型（Lund-Potsdam-Jena Dynamic Globa Vegetation Model.LPJ-DGVM）敏感参数优化方法，获取适宜中国的参数化方案：在此基础上，引入数据同化算法，将遥感卫星产品信息与模型相融合，在模拟过程中不断校正原有模型模拟轨迹，提高模型适用性。将以上改进的模型推广至中国区域，实现对20002015年中国地区总初级生产力（Gross Primary Productivity GPP）和敬发（Evapotranspiration，ET的空间格局模拟及分析。主要结论如下1）将LP」DGwM中所选出的22个可调参数（涉及光合、呼吸、水平衡异速生长、死亡、建立以及土壤和掉落物分解共七个作用领域）在各自取值范围内随机获得不同的参数组合，结果表明22个参数可引起GPP和ET模拟结果产生较大的不确定性，尤其集中在生长季。所有站点GPP相对不确定性（Relative Uncertainty，RU）基本保持在09-1.25之间，不具有明显的年际变异性：ET相对不确定性RU月变化趋势明显，且基本处于0.5以下，明显低于GPP，说明所筛选的22个参数对GP模拟产生的影响更为显著。
标签： 数据融合
上传时间： 2022-03-16
上传用户：shjgzh
