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详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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模式识别课件
当预先不知道类型数目，或者用参数估计和非参数估计难以确定不同类型的类概率密度函数时，为了确定分类器的性能，可以利用聚类分析的方法。-When the pre-recognition software does not know the type of number, or parameter estimation and non-parameter estimation it is difficult to determine the different types of ca
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介绍了现代功率谱估计中的B哩算法最大嫡谱估计的基本原理，并采用VC+十语言对
功率谱密度(鹅D)进行了仿真。同时比较了BI雌算法和经典谱估计中Bardett周期图法，针对Burg算法中的
模型阶次的选择进行了分析，提出了最佳模型阶次采用最终预报误差(I下E)为准则的结论。
-Introduction of modern power spectrum estimation algorithm B mile maximum entropy spectral estimation prin
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Abstract: Randomized modulation is of increasing interest in power
electronics and also holds promise for reducing filtering requirements
in ac/ac, dc/dc converter application and reducing acoustic noise in
motor drive applications. This paper
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一篇引用率非常高的英文文献，基于快速高斯的KDE目标跟踪-Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
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社会网络分析中的密度估计方法，发表在sigmod2014上的深度文章，有具体算法和实验评价-Social network analysis density estimation method was published in sigmod2014 good text, be able to estimate the social networks of small groups and core.
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Kernel density estimation
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已调制信号计算其普相关密度，多抽样率信号处理，通过虚拟阵元进行DOA估计。- Modulated signals to calculate its density Pu-related, Multirate signal processing, Conducted through virtual array DOA estimation.
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