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Kalman-master

于 2019-04-18 发布 文件大小:7084KB
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下载积分: 1 下载次数: 1
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代码说明：

  kalman filtering for design based on bayesian model

文件列表：

Kalman-master, 0 , 2018-03-12
Kalman-master\.ipynb_checkpoints, 0 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Adaptive-Kalman-Filter-CV-checkpoint.ipynb, 365924 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Extended-Kalman-Filter-CTRA-checkpoint.ipynb, 537874 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Extended-Kalman-Filter-CTRV-checkpoint.ipynb, 501300 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-Bike-Lean-Angle-checkpoint.ipynb, 71895 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-2-checkpoint.ipynb, 337573 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-Ball-checkpoint.ipynb, 491480 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-checkpoint.ipynb, 254758 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CV-checkpoint.ipynb, 210121 , 2018-03-12
Kalman-master\2014-02-14-002-Data.csv, 252234 , 2018-03-12
Kalman-master\2014-03-26-000-Data.csv, 1887196 , 2018-03-12
Kalman-master\2016-08-09-Motorbike.csv, 1791875 , 2018-03-12
Kalman-master\2016-09-12-Leaning.csv, 300160 , 2018-03-12
Kalman-master\2016-09-12-Leaning2.csv, 205668 , 2018-03-12
Kalman-master\Adaptive-Kalman-Filter-CV.ipynb, 365924 , 2018-03-12
Kalman-master\Adaptive-Kalman-Filter-CV.py, 10878 , 2018-03-12
Kalman-master\CTRV-Model.png, 6456 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV-Position.png, 52085 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV-State-Estimates.png, 104938 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.ipynb, 403112 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.kmz, 190056 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.pdf, 112133 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.py, 16862 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA-State-Estimates.png, 148466 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.ipynb, 537874 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.kmz, 135368 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.py, 21511 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV-State-Estimates.png, 115050 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.ipynb, 501300 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.kmz, 135375 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.py, 22459 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.slides.html, 650440 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV2.ipynb, 39280 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV2.py, 22089 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-Step.png, 35265 , 2018-03-12
Kalman-master\Formulas, 0 , 2018-03-12
Kalman-master\Formulas\A-CTRV-Attitude.png, 14325 , 2018-03-12
Kalman-master\Formulas\G-CTRV-Attitude.png, 21925 , 2018-03-12
Kalman-master\Formulas\JA-CTRV-Attitude.png, 26717 , 2018-03-12
Kalman-master\Kalman-Filter-Bike-Lean-Angle.ipynb, 71895 , 2018-03-12
Kalman-master\Kalman-Filter-Bike-Lean-Angle.py, 5502 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.ipynb, 337573 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.py, 16053 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.slides.html, 537356 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball-StateEstimated.png, 93633 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball-Trajectory.png, 151706 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball.ipynb, 491480 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball.py, 16511 , 2018-03-12
Kalman-master\Kalman-Filter-CA-CovarianceMatrix.png, 10493 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Measurements.png, 33012 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Position.png, 19188 , 2018-03-12
Kalman-master\Kalman-Filter-CA-RealMeasurements.py, 15349 , 2018-03-12
Kalman-master\Kalman-Filter-CA-StateEstimated.png, 37485 , 2018-03-12
Kalman-master\Kalman-Filter-CA.ipynb, 254758 , 2018-03-12
Kalman-master\Kalman-Filter-CA.py, 13310 , 2018-03-12
Kalman-master\Kalman-Filter-CV.ipynb, 210121 , 2018-03-12
Kalman-master\Kalman-Filter-CV.py, 11311 , 2018-03-12
Kalman-master\Kalman-Filter-CV.slides.html, 421550 , 2018-03-12
Kalman-master\Kalman-Filter-Step.png, 33917 , 2018-03-12
Kalman-master\README.md, 5091 , 2018-03-12
Kalman-master\car-model.dae, 98646 , 2018-03-12

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0 个回复

  • matlab-and-vc
    说明：  MATLAB和VC混合编程的论文资料近50篇，均为图书馆下载，很详细(Hybrid Programming MATLAB and VC data nearly 50 papers, all libraries to download, very detailed)
    2011-04-11 10:55:16下载
    积分：1
  • MATLABcommonfunctions
    matlab常用函数参考包含了matlab中常用的函数集合，对于学习matlab有很好的帮助(used matlab matlab function reference contains a collection of commonly used functions, good for learning matlab help)
    2011-05-29 21:23:07下载
    积分：1
  • SinGen
    用于产生正弦波数据文件。在matlab环境下使用。希望对你有所帮助(Used to generate the sine wave data file. Matlab environment. I hope for your help)
    2013-01-25 13:32:02下载
    积分：1
  • ImageEdgeDetection_segmentation_matlab
    说明：  边缘提取源码，国内一高手写的，对计算机视觉等很有用，代码精炼(Edge source, the domestic one written by a master of computer vision and other useful code Refining)
    2008-11-17 10:37:03下载
    积分：1
  • GPC
    使用matlab实现智能预测控制算法中的GPC算法，以阶跃、正弦等函数为例进行仿真实现(Using matlab to achieve intelligent predictive control algorithm of the GPC algorithm, to step, sinusoidal, etc. function as an example simulation)
    2020-11-19 20:19:37下载
    积分：1
  • MUSIC
    运用music方法实现了阵列信号处理中的波束形成，包括线阵和平面阵。(Music beamforming in array signal processing, including line array and planar array.)
    2012-05-05 11:30:34下载
    积分：1
  • cs-omp
    关于压缩感知使用的凸优化工具包，非常实用，基于OMP的压缩感知。能够有效的压缩信息。(About compressed sensing using convex optimization toolkit, very practical, perception-based compression OMP. Can effectively compress the information.)
    2015-01-01 21:29:14下载
    积分：1
  • Current Distribution
    本程序研究了已知电位分布的带电导体棒和方形平板的电荷分布模型，并利用矩量法对导体棒电荷线密度和平板的对角线电荷密度进行求解。讨论了不同模型下的算法和划分格数对电荷线密度结果的影响并经行了对比分析。(This program studies the charge distribution model charged conductor rods and square plates known potential distribution, and use of the method of moments for the diagonal line charge density charge density conductor rod and plate solve. The effects of the algorithm and divide the number of cells under different models of the charge line density results and comparative analysis by the line.)
    2015-08-02 09:20:55下载
    积分：1
  • pegasis-code
    code for Pegasis protocol in wireless sensor network wsn
    2012-07-14 01:25:10下载
    积分：1
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    这两个程序用于仿真 图4和图5.这里的方程用新的归一化方程，不是孤子归一化方程。也就是论文中的方程3(study input peak power vursus output total power for different Lcd, P~P CURVES Simulate Fig.4 Using wangs equations )
    2011-09-12 16:51:30下载
    积分：1
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