Description: 二人关系 称骨论命 手机号码吉凶 前生来生预测 全部源码-Bone said the relationship between the two mobile phone numbers of good and bad life prediction Laisheng former all-source Platform: |
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Author:zizaiyou |
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Description: 本书涉及的研究方法主要应用于油田生产的实际工作中，包括一般储层参数预测、薄互油藏参数预测、火山岩储层参数预测和储层随机模拟等问题，同时还涉及了石油工业中的油管缺损检测、海底输油管道腐蚀检测等应用问题，对污水处理絮凝过程的智能优化控制及移动机器人的全局和局部路径规划等问题的应用也进行了一定的研究。-Book of research methods involved are mainly used in oil field production of practical work, including the general prediction of reservoir parameters, thin reservoir parameter prediction, volcanic prediction of reservoir parameters and reservoir stochastic simulation and other issues, but also involved in the oil industry pipeline defect detection, submarine detection applications such as pipeline corrosion problem of the sewage treatment process of flocculation and optimal control of intelligent mobile robot path planning global and local issues such as the application have also been some study. Platform: |
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Author:cheny |
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Description: 语音编码方案的选取对移动通信系统的通话质量、信道容量等有重要影响。本文讨论了TD-SCDMA系统中AMR语音编码的自适应机制，同时分析了AMR中代数码本线性预测(ACELP)算法及实现过程。该方案可以在一块TMS320C5510上实现。-The selection of voice coding schemes for mobile communication systems the quality of the call, such as channel capacity have had a significant impact. In this paper, TD-SCDMA System AMR Adaptive speech coding mechanism, at the same time analysis of AMR in the generation of Digital Linear Prediction (ACELP) algorithm and the realization of the process. The program can be achieved in a TMS320C5510. Platform: |
Size: 38912 |
Author:刘文 |
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Description: 网络是一种无中心自组织的多跳无线网络，它不以任何已有的固定设施为基础而能随时随地组建临时性网络。它是具有特殊用途的对等式网络, 使用无线通信技术 ,网络中的节点互相作为其邻居（在其直接通信范围内的节点）的路由器 ,通过节点转发实现节点间的通信-The prediction of performance in Manet (mobile ad-hoc network) used to improve the technology development. The proposed analysis used how to design a network according to the applications of mobile adhoc network experiments with different workloads Platform: |
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Author:zhouxiao |
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Description: Mobile video surveillance represents a new paradigm that
encompasses, on the one side, ubiquitous video acquisition and,
on the other side, ubiquitous video processing and viewing,
addressing both computer-based and human-based surveillance.
There are many parameters that affect video quality but their
combined effect is not well identified and
Understood when video is transmitted over mobile/ wireless
networks. In addition, video content has an impact on video
quality under same network conditions. The main aim of this
paper is the prediction of video quality combining the
application and network level parameters for all content types.
Firstly, video sequences are classified into groups
Representing different content types using cluster analysis. The
classification of contents is based on the temporal (movement)
and spatial (edges, brightness) feature extraction. Second, to
study and analyze the behavior of video quality for wide range
variations of a set of selected parameters. Platform: |
Size: 265216 |
Author:Ahmed |
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Description: Revised and enlarged version that discusses how to design a mobile communications system. Comprehensively examines the mobile radio environment. Covers prediction of propagation loss, calculation and methods of reducing fades, interference, frequency plans and associated schemes, design parameters, signaling and channel access, cellular CDMA, microcell systems, and miscellaneous related systems. Contains chapter-by-chapter references and problems. Common terms and phrases:bit-error rate CDMA cell site co-channel interference coherence bandwidth diversity scheme FDMA microcell mobile unit path loss Rayleigh fading Platform: |
Size: 4662272 |
Author:shahram |
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Description: 改进的手机、电话号码、QQ号码吉凶预测其它网站上还没有的哦！-Improved mobile phone, telephone number, QQ number of good and bad prediction on other sites were no oh! Platform: |
Size: 22528 |
Author:123 |
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Description: 加权移动平均法就是根据同一个移动段内不同时间的数据对预测值的影响程度，分别给予不同的权数，然后再进行平均移动以预测未来值。
加权移动平均法不像简单移动平均法那样，在计算平均值时对移动期内的数据同等看待，而是根据愈是近期数据对预测值影响愈大这一特点，不同地对待移动期内的各个数据。对近期数据给予较大的权数，对较远的数据给予较小的权数，这样来弥补简单移动平均法的不足。-Weighted moving average method is according to the degree of influence on the prediction value of different time with a mobile period data, were given different weights, and then moving average to forecast future values.
Weighted moving average method is not simple moving average method, in the calculation of the average value of the mobile phase within the data equally, but according to the characteristics of the larger impact of recent data on the predictive value of different, treat all data movement period. To give greater weight to recent data, given the small number of remote data, thus to make up for lack of simple moving average method. Platform: |
Size: 1024 |
Author:陈发东 |
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Description: 易语言手机预测游戏源码，游戏编程，很好的参考资料。有需要的就下载吧。-Easy language to prediction of mobile phone game programming, game source code, a good reference. There is a need to download it. Platform: |
Size: 69632 |
Author:什锦豆腐 |
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Description: This paper deals with using of low-cost Global
Navigation Satellite System (GNSS) sensors in a localization
process for an autonomous guidance system of mobile robots.
Generally, this process is made using a Kalman Filter (KF) to
fuse information coming from different sensors. But as GNSS
error is an unpredictable stochastiscal process, the localization
estimated by the KF becomes unreliable. To solve this problem,
the error of a cheap GNSS receiver is analyzed. Then, an
AutoRegressive process (AR process) is used to establish a reliable
prediction model. A second problem of GNSS systems concerns
the disturbances in the observation of satellites. To detect this
disturbance, we use a condition based on the Mahalanobis
distance. This model and condition are taken into account in
the localization system to improve its Platform: |
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Author:hassan |
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Description: The 4g wireless uses Orthogonal Frequency Division Multiplexing (OFDM), Ultra Wide Radio Band (UWB), and Millimeter wireless. Data rate of 20mbps is employed. Mobile speed will be up to 200km/hr. The high performance is achieved by the use of long term channel prediction, in both time and frequency, scheduling among users and smart antennas combined with adaptive modulation and power control. Frequency band is 2-8 GHz. it gives the ability for world-wide roaming to access cell anywhere. Platform: |
Size: 559104 |
Author:roopali |
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Description: In advanced TDMA mobile communications systems,
reduced-state equalization algorithms have to be employed
because high-level modulation is used in order
to improve spectral efficiency. Such equalizers have
only high performance, if the overall discrete-time
system to be equalized is minimum-phase. Therefore,
in general, a discrete-time prefilter has to be
inserted in front of equalization. In literature, several
approaches have been proposed for computation
of a suitable FIR or IIR prefilter. In this paper,
we present an approach for FIR prefilter computation,
which is quite robust and requires an only moderate
computational complexity. The prefilter consists
of the cascade of a channel-matched filter and
a prediction-error filter, which can be calculated via
the Levinson-Durbin algorithm. Simulation results
are given, which demonstrate that the performance
of the proposed approach is essentially equivalent to
the case of reduced-state equalization combined with
ideal allpass prefiltering. Platform: |
Size: 572416 |
Author:ali |
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Description: 参与式感知系统中基于社会关系的移动用户位置预测算法-Participatory sensing system based on the mobile user s location prediction algorithm social relations Platform: |
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Author:wang |
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Description: 参与式感知系统中基于社会关系的移动节点位置预测算法 于瑞云,夏兴有,李婕，周岩，王兴伟-Participatory sensing system prediction algorithms based on the location of the mobile node of social relations- in zuiun summer Hing have, Li Jie, Zhou Yan, Wang Xingwei Platform: |
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Author:xiaozhang |
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Description: 针对移动社交网络中节点中心性预测问题，提出基于K阶马尔科夫链的中心性预测方法。在真实移动社交数据集的中计算信息熵分析节点中心性的过去与未来规律性，研究了节点中心性的可预测性。利用节点中心性的历史信息，构建状态转移概率矩阵，预测节点未来中心性值, 并通过分析真实值与预测值之间的误差评估了这些预测方法的性能。结果表明，当阶数K=2时，与四种基于时窗的中心性预测方法比较，基于K阶马尔科夫链的预测模型在MIT数据集和Infocom 06数据集中虽不在个体上优于已提出的预测方法，但在整体上达到了优化。(we proposed a centrality prediction method based on K-order Markov chains to solve the problem of centrality prediction in mobile social networks. In the real mobile social data set, the information entropy of the computation is used to analyze the past and future regularity of the node's centrality, and the predictability of the node's centrality is verified. Using the historical information of the center of the node, the state probability matrix is constructed to predict the future central value of the node. Through the analysis of the error between real value and predicted value, we evaluate the performance of the prediction methods. The results show that the prediction model based on the K-order Markov chain when K=2 is not optimized on the individual on the MIT dataset and the Infocom 06 data set, but on the whole to achieve the optimization.) Platform: |
Size: 21229568 |
Author:garyppap |
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