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Description: 认知无线电技术的提出是为提高频谱利用率，而认知无线实现的关键技术是频谱感知，众所周知协作检测提高了衰落环境中认知用户系统检测的性能，该文章是基于协作检测提出新的检测方案，利用了双门限方法提高了系统性能，兼顾带宽有限和增强性能两个方面，是基于门限检测的协作检测性能优化的前提。对以后门限优化协作检测非常有用。-In this paper, we employ a double threshold method in energy detector to perform spectrum sensing, while a fusion center in the cognitive radio network collects the local decisions and observational values of the secondary users, and then makes the final decision to determine whether the primary user is absence or not. Simulation results will show that the spectrum sensing performance channels is improved significantly under the proposed scheme as opposed to the conventional method.
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Size: 374784 |
Author: 丽丽 |
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Description: 认为不同的认知节点信噪比( SNR)
导致了各节点本地检测结果的可靠性不同,故在此基础上提出了一种基于融合中心进行SNR比较
的认知无线电协作频谱检测算法。-That the different cognitive node SNR (SNR) has led to the detection results of the reliability of the local node is different on this basis it was proposed based on fusion center collaboration SNR compared cognitive radio frequency spectrum detection.
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Size: 493568 |
Author: 宝宝 |
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Description: 基于Hessian矩阵的条纹中心提取方法提取光条中心点的亚像素图像坐标，并将光条中心点连接成光条中心线 然后利用直线近似算法将光条中心线在拐点处拆分为近似直线:最后将满足角度约束和图像原点到近似直线的距离约束的共线中心点进行融合，对融合后的共线中心点进行直线拟合得到直线光条的参数方程。-Hessian matrix-based extraction method of extracting light stripe center of the center section of the sub-pixel image coordinates, and connected into the center of light bar light bar center line then use the linear approximation algorithm will be the center line of the inflection point of light split into approximately Line: Finally, to meet the angle constraints and images from the origin to the approximate linear constraints collinear fusion center, for a total fusion center for straight line fitting the parameters of linear equation of light stripes.
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Size: 579584 |
Author: 方芳 |
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Description: ucos-II融合uc-gui的程程序，结合重力传感器
-CENTER-II fusion uc-gui process procedures, combined with gravity sensor
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Size: 2953216 |
Author: king |
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Description: 由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更
切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测
量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况
下的异步融合算法,仿真结果说明了算法的有效性。-Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he
asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly
t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent
sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o-
cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an
asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he
v alidity o f the presented a lg or ithm
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Size: 278528 |
Author: 张成宝 |
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Description: McGraw Hill - Oracle JDeveloper 11g Handbook (December 2009) (ATTiCA).
As the title and subtitle of the book states, we address the material in this book to those who wish or need to use Oracle JDeveloper 11g to create web applications with the Fusion technologies— the technologies Oracle uses to create Oracle Fusion Applications—the next generation of Oracle’s packaged applications (which now includes Oracle E-Business Suite, PeopleSoft, Siebel CRM, and other applications products). This book is a “handbook,” not in the sense of a complete guide to all areas of the tool (because that function is well handled in the online JDeveloper Help Center) but in the sense that it is a guide for creating Java-enterprise standard, web applications using JDeveloper 11g.
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Size: 19684352 |
Author: ez2sarang |
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Description: Wireless sensor DD systems are designed and
deployed for detection application. Wireless sensor networks differ
from general data networks and they require a different design
paradigm that considers the co-operative nature of sensor nodes and
application dependent performance measures. In wireless sensor
networks, each sensor node extracts information from the
observations and communicates with a fusion center which makes a
global assessment.
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Size: 139264 |
Author: besho |
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Description: This code implements an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and its asymptotic distributions are established. Collaborative test statistics are proposed for the fusion of local test statistics of the secondary users, and a censoring technique in which only informative test statistics are transmitted to the fusion center (FC) during the collaborative detection is further proposed for improving energy efficiency in mobile applications. Moreover, a technique for numerical approximation of the asymptotic distribution of the censored FC test statistic is proposed.
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Size: 45056 |
Author: oyix |
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Description: 呼叫中心是IP-PBX技术与传统呼叫中心的完美融合，企业无需自己购买服务器，即可拥有专业的呼叫中心服务。它将座席分配给位于不同地点的不同企业使用，集呼叫中心、电话营销、客户关系管理、销售任务管理、短信、传真等功能于一体，为现代化企业量身打造的综合通信服务平台。-Call center is IP-PBX technology and the perfect fusion of traditional call center, companies do not need to buy their own servers, you can have a professional call center service. It will seat assigned to different enterprises located in different places to use, set the call center, telephone marketing, customer relationship management, task management, SMS, fax marketing and other functions in one, integrated communication service platform for modern enterprises tailored.
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Size: 114688 |
Author: 黎明 |
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Description: 基于低频融合策略的小波图像融合算法可分为三个细节：高频带的融合、低频融合的对象、低频融合策略的程序代码。其中对最后一部分中一些细节问题要花心思处理，比如区域大小的确定、区域边界与图像边界的关系、区域中心与区域中各点的权值确定、区域中心在原始图像中的具体位置等等。-Fusion strategy based on low-frequency wavelet image fusion algorithm can be divided into three details: integration, low-fusion target, the low-frequency fusion strategy program code the high frequency band. Where some of the details of the last part of the effort is needed to deal with issues such as the relationship between the size of the defined area, the boundary of the image area boundary, regional center and the right value of each point in the area to determine the specific location of regional centers in the original image, etc. .
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Size: 2048 |
Author: 陶陶 |
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Description: In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC).-In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC).
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Size: 720896 |
Author: suchita |
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