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EKF-SLAM-16.0

于 2019-04-02 发布文件大小:1354KB

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下载积分: 1 下载次数: 6

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代码说明：

本包讲解的是关于扩展卡尔曼滤波同时定位与见图的MATLAB仿真代码(This package explains the MATLAB simulation code for simultaneous Kalman filtering simultaneous positioning and reference.)

文件列表：

16.0-EKF最终版本-2.0, 0 , 2015-05-11
16.0-EKF最终版本-2.0\add_control_noise.m, 148 , 2015-05-11
16.0-EKF最终版本-2.0\augment.m, 613 , 2015-05-11
16.0-EKF最终版本-2.0\batch_update.m, 543 , 2015-05-04
16.0-EKF最终版本-2.0\changeCoordinate.m, 640 , 2015-05-04
16.0-EKF最终版本-2.0\configFile.m, 1157 , 2015-05-04
16.0-EKF最终版本-2.0\data_associate.m, 1537 , 2015-05-11
16.0-EKF最终版本-2.0\extractInterestPoint.m, 4883 , 2015-05-03
16.0-EKF最终版本-2.0\fileData.txt, 1427620 , 2015-05-04
16.0-EKF最终版本-2.0\getClosePoint.m, 977 , 2015-05-03
16.0-EKF最终版本-2.0\getLine.m, 5244 , 2015-05-03
16.0-EKF最终版本-2.0\interestPoint2z.m, 442 , 2015-05-04
16.0-EKF最终版本-2.0\KF_cholesky_update.m, 611 , 2015-05-04
16.0-EKF最终版本-2.0\line_plot_conversion.m, 205 , 2015-05-11
16.0-EKF最终版本-2.0\observe_model.m, 750 , 2015-05-11
16.0-EKF最终版本-2.0\pi_to_pi.m, 187 , 2015-05-11
16.0-EKF最终版本-2.0\predict.m, 569 , 2015-05-11
16.0-EKF最终版本-2.0\sinGUI.fig, 10885 , 2015-05-07
16.0-EKF最终版本-2.0\sinGUI.m, 3731 , 2015-05-04
16.0-EKF最终版本-2.0\SLAM_sim.m, 10645 , 2015-05-11
16.0-EKF最终版本-2.0\TransformToGlobal.m, 433 , 2015-05-04
16.0-EKF最终版本-2.0\vehicle_model.m, 178 , 2015-05-11
16.0-EKF最终版本-2.0\z2xy.m, 205 , 2015-05-04
16.0-EKF最终版本-2.0\说明.txt, 37 , 2015-05-01

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由matlab平台实现,是一种提取共振峰信息的有效方法.(from Matlab platform is a resonance peak extraction of information in an effective manner.)

2007-06-03 16:26:56下载

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Matlab-project
roots -Polynomial roots Syntax r = roots(c) Description r = roots(c) returns a column vector whose elements are the roots of the polynomial c. Row vector c contains the coefficients of a polynomial, ordered in descending powers. If c has n+1 components, the polynomial it represents is . Tips Note the relationship of this function to p = poly(r), which returns a row vector whose elements are the coefficients of the polynomial. For vectors,roots and poly are inverse functions of each other, up to ordering, scaling, and roundoff error.

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灰色系统模型的matlab实现，统计分析时不可或缺的一种模型。通过此m文件直接预测分析所需数据(Matlab implementation of the gray system model, an indispensable model in the statistical analysis. This m file directly predictive analysis required data)

2012-07-22 16:33:21下载

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2017-03-08 10:11:09下载

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