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卡尔曼滤波算法，用于各类数据信息的过滤
，能够得到比较好的结果。在此基础上进行了改进
-Kalman filter algorithm, for various types of data filtering, can be relatively good results. On this basis improved
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一种基于改进Kalman滤波的盲多用户检测，论文不错，可以-Kalman Filter Based on an Improved Blind multi-user detection, paper good, take a look 。
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这是一篇关于：一种改进的卡尔曼滤波算法在盲多用户检测中应用 的文章 希望对大家有所帮助-This is an article about: an improved Kalman filter algorithm in blind multiuser detection in the application of article we want to help
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新息kalman原理MATLAB实现，适合初学者。-a simple improved kalman filter based innovation.
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本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) th
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这是利用改进的kalman滤波来处理GPS信号，通过与传统的kalman滤波比较得到较好的效果。直接解压，就可以导入work里运行。-This is the improved GPS kalman filter to process the signal, by comparison with the traditional kalman filter get better results. Direct decompression to work can be imported to run.
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一种改进的卡尔曼滤波器算法，用于预测目标。-An improved Kalman filter algorithm for predicting the target.
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Kalman滤波的C++语言实现.对于改进的Kalman滤波还未实现，欢迎大家相互交流。-C++ language implementation of the Kalman filter for improved Kalman filter have not yet been realized, and welcome everyone to communicate with each other.
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在工程运用中，我们往往在卡尔曼滤波器后端连接平滑滤波器构成平滑卡尔曼滤波器，来加强滤波性能的改善，程序通过简单输入信号 在增加随机观测噪声情况下 在平滑卡尔曼滤波前后进行观测对比，可得平滑卡尔曼滤波性能得到了改善。-In engineering application, we often back-end connections in the Kalman filter Kalman smoothing filter the smoothing filter, to enhance filter
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粒子滤波器的C++版本代码。粒子滤波器是改进的卡尔曼滤波器，在目标跟踪领域运用非常广泛，对遮挡和尺度、光照等较鲁棒。-Particle filter C++ version of the code. Particle filter is improved Kalman filter, used in a very wide field of target tracking.It is robust to occlusion ,scale issue, illumination and so on
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基于卡尔曼滤波的视频追踪程序，粒子滤波的典型应用，改进过的算法-Typical applications for the Kalman filter-based video tracking program, particle filter algorithm improved over
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改进的粒子滤波算法，通过引进记忆衰减因子，将最新量测信息加入更新过程。-Improved particle filter algorithm, through the introduction of memory attenuation factor, the latest measurement Join the update process.
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该算法使用扩展卡尔曼滤波提议的分布模型，来改进粒子滤波-The algorithm uses the extended Kalman filter distribution model proposed to improve particle filter
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基于KF滤波技术的目标跟踪实现程序，包含了相应的改进算法，可以直接运行。-Target tracking based on the technology of KF filter implementation procedures, and contains the corresponding improved algorithm, can be directly run.
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分别使用传统卡尔曼滤波和改进的自适应卡尔曼滤波对运动物体进行跟踪，比较并分析结果，验证自适应卡尔玛滤波的优点。-Respectively using conventional Kalman filter and adaptive Kalman filter for improved tracking of moving objects, compare and analyze the results to verify the advantages of adaptive filtering K
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很好用的追踪小球的算法！改进的卡尔曼滤波，简单易学，适合初学者-Tracking algorithm ball good use! Improved Kalman filter, easy to learn for beginners
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针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。-
Extended K
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自己写的改进的BP神经网络辅助组合导航卡尔曼滤波，运行成功，可供参考。-Write their own improved BP neural network aided integrated navigation kalman filter, run successfully, for reference.
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一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高-An improved adaptive filter state estimates, the effect is very good, is written in MATLAB, directly in matlab running, you can see a perfect filtering effect
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kalman滤波算法程序是matlab的程序-An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm
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