Description: 卡尔曼滤波C程序 卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。
对于解决很大部分的问题,他是最优,效率最高甚至是最有用的。他的广泛应用已经超过30年,包括机器人导航,控制,
传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理,
例如头脸识别,图像分割,图像边缘检测等等。-Kalman filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on. Platform: |
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Author:于军相 |
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Description: 书籍《多传感器数据融合》P44页算法的具体实现,可用于目标跟踪、卫星定位的仿真程序。-Books, multi-sensor data fusion P44-page concrete realization of algorithm can be used for target tracking, satellite positioning the simulation program. Platform: |
Size: 2048 |
Author:宋俊典 |
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Description: 文中给出了数据融合算法,并提出把数据融合方法应用于火电机组的在线性能计算中,使计算结果能更完善、准确地反映机组的运行状况。这种数据融合方法计算简便,可以反映传感器在空间或时间上的冗余或互补的信息,获得比有限个传感器的算术平均值更准确的测量结果,具有较高的可靠性,实际应用结果证实了该算法的准确性,可推广到其它具有正态分布特性测量结果的数据融合。-Paper gives the data fusion algorithms, and to make the data fusion method is applied to thermal power units of the line performance calculation, so that better results can accurately reflect the unit s operating conditions. This data fusion method is simple and can reflect the sensor in space or time redundancy or complementary information, a finite number of sensors than the arithmetic mean a more accurate measurement results with high reliability, the practical application of the results confirmed the accuracy of the algorithm can be extended to other characteristics of the measurement results with a normal distribution of data fusion. Platform: |
Size: 164864 |
Author:coco |
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Description: 利用小波变换方法进行多卫星遥感图像数据融合,分析不同长度的小波基对融合图像的影响,从信息的保持性、视觉效果及运用灵活性等方面与IHS、PCA 融合算法进行了比较,从而探讨这一新算法在遥感图像分析应用中的可行性。-Using wavelet transform methods of multi-satellite remote sensing image data fusion, analysis of different wavelet bases on the length of the impact of image fusion, from the maintenance of information, visual effects and the use of flexibility with the IHS, PCA fusion algorithm are compared in order to explore the This new algorithm in the application of remote sensing image analysis feasibility. Platform: |
Size: 65536 |
Author:lieutenant |
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Description: 基于Trous小波算法的影像融合由于存在抽取和插值运算,其结果存在一定的相位失真Trous小波算法通过有限滤波器内插近似实现对影像数据的无抽取离散小波变换较好地解决了上述问题,在阐述影像数据融合原理的基础上给出了基于Trous小波变换的影像融合处理方法和过程。-Trous wavelet algorithm based on image fusion because of extraction and interpolation operations, the result there is a certain degree of phase distortion trous wavelet algorithm through limited interpolation filter approximation of the image data to achieve without taking discrete wavelet transform can solve the above problems, Before going into the image data fusion based on the principle of give trous wavelet transform based image fusion methods and the process of treatment. Platform: |
Size: 113664 |
Author:lieutenant |
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Description: 实现毫米波雷达与红外雷达的数据融合算法研究多传感器数据融合算法-The realization of millimeter-wave radar and infrared radar data fusion algorithm for multi-sensor data fusion algorithm Platform: |
Size: 7168 |
Author:aniu |
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Description: 为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小-In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small Platform: |
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Author:hufei |
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Description: Abstract:Spectrum Sensing is one of the key
technologies in cognitive radio.This article summarize$
the latest development in the field.ana—
lyzes the performance of detection algorithm for
physical layer and its detection policies,examining
the solution for improving the efficiency of
MAC layer detection using the tragic feature of
allthorized USel葛,and discusses about the data
fusion and decision in multi—user collaboration
detection.Based on the above aspects,this article
proposes the topics for further research. Platform: |
Size: 471040 |
Author:livedord |
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Description: 杨万海《多传感器数据融合》P44页算法的具体实现,在MATLAB运行-Yang Wanhai" P44" page of multi sensor data fusion algorithm in the concrete realization, in the MATLAB run Platform: |
Size: 2048 |
Author:杨朝景 |
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Description: 关于GPS与DR信息融合的一种新算法的研究。是英文论文。-A new algorithm for the integration of GPS and DR information. English papers. Platform: |
Size: 353280 |
Author:刘桂辛 |
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Description: 信息融合中的许多数据关联算法计算量大, 工程中难以保证实时性和有效性。本文就这一方面展开研究, 给出了可以满足工程实际需要的有效算法, 设计出相应的系统。通过实际系统应用, 可以获得满意的融合结果和较快的计算速度。-The comput ation quant ity of many data correlation algorithm is great in the information fusion. It is difficult to guarantee the computing speed and the validity in real time processing. By studying on this hand, this article launches the research, produces the effective algorithm suit to real engineering. The corresponding system is designed. Through the actual system application, the satisfaction the fusion result and a quicker comput ation speed is obtained. Platform: |
Size: 101376 |
Author:成晓东 |
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Description: GPS-DR组合定位系统数据融合算法的研究Research on data fusion algorithm of GPS-DR integrated positioning system-Research on data fusion algorithm of GPS-DR integrated positioning system Platform: |
Size: 2235392 |
Author:shaohaobai |
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