登录
首页 » matlab » ReBEL-0.2.7

ReBEL-0.2.7

于 2011-11-30 发布 文件大小:1571KB
0 180
下载积分: 1 下载次数: 60
我要下载

代码说明：

  包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波(ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a). )

文件列表：

ReBEL-0.2.7
...........\htm" target=_blank>Bugfixes,3836,2006-10-03
...........\htm" target=_blank>ChangeLog,5384,2006-09-21
...........\core
...........\....\addangle.m,1065,2006-09-18
...........\....\addrelpath.m,1298,2006-09-18
...........\....\cdkf.m,14736,2006-09-18
...........\....\checkdups.m,934,2006-09-18
...........\....\checkstructfields.m,1376,2006-09-18
...........\....\consistent.m,4143,2006-09-19
...........\....\Contents.m,3639,2006-09-18
...........\....\convgausns.m,4356,2006-09-18
...........\....\cvecrep.m,874,2006-09-18
...........\....\datamat.m,1185,2006-09-18
...........\....\ekf.m,8319,2006-09-18
...........\....\fixinfds.m,1977,2006-09-18
...........\....\gauseval.m,2871,2006-09-18
...........\....\gaussample.m,1639,2006-09-19
...........\....\geninfds.m,80546,2006-09-19
...........\....\gennoiseds.m,28704,2006-09-18
...........\....\gensysnoiseds.m,30417,2006-09-18
...........\....\gmmfit.m,7201,2006-09-18
...........\....\gmminitialize.m,4671,2006-09-18
...........\....\gmmprobability.m,5126,2006-09-18
...........\....\gmmsample.m,3014,2011-08-07
...........\....\gmsppf.m,10668,2006-09-18
...........\....\gmsppf2.m,3526,2006-09-18
...........\....\gspf.m,9746,2006-09-18
...........\....\gssm.m,27931,2006-09-19
...........\....\kf.m,8762,2006-09-22
...........\....\mlpff.m,2695,2006-09-18
...........\....\mlpindexgen.m,2808,2006-09-18
...........\....\mlpjacobian.m,7613,2006-09-18
...........\....\mlppack.m,2511,2006-09-18
...........\....\mlpunpack.m,3520,2006-09-18
...........\....\mlpweightinit.m,3064,2006-09-18
...........\....\pf.m,7628,2006-09-18
...........\....\remrelpath.m,1302,2006-09-15
...........\....\residualresample.m,2271,2006-09-15
...........\....\rvecrep.m,866,2006-09-15
...........\....\sppf.m,10246,2006-09-18
...........\....\srcdkf.m,20116,2006-09-18
...........\....\srukf.m,20234,2006-09-18
...........\....\stringmatch.m,885,2006-09-15
...........\....\subangle.m,1066,2006-09-15
...........\....\ukf.m,12758,2006-09-18
...........\docs
...........\....\m2html
...........\....\......\alpha.png
...........\....\......\c%2B%2B.png
...........\....\......\c.png
...........\....\......\demoicon.gif
...........\....\......\down.png
...........\....\......\fortran.png,265,2003-10-03
...........\....\......\hp.png,255,2003-10-03
...........\....\......\left.png,136,2003-10-03
...........\....\......\linux.png,272,2003-10-03
...........\....\......\m2html.css,1002,2003-10-03
...........\....\......\matlabicon.gif,574,2003-10-03
...........\....\......\menu.html,25737,2006-10-04
...........\....\......\mex.png,242,2003-10-03
...........\....\......\ReBEL-0.2.7
...........\....\......\...........\core
...........\....\......\...........\....\addangle.html,6636,2006-09-26
...........\....\......\...........\....\addrelpath.html,7739,2006-09-26
...........\....\......\...........\....\cdkf.html,30413,2006-09-26
...........\....\......\...........\....\checkdups.html,4428,2006-09-26
...........\....\......\...........\....\checkstructfields.html,6148,2006-09-26
...........\....\......\...........\....\consistent.html,15675,2006-09-26
...........\....\......\...........\....\Contents.html,5685,2006-09-26
...........\....\......\...........\....\convgausns.html,13636,2006-09-26
...........\....\......\...........\....\cvecrep.html,8180,2006-09-26
...........\....\......\...........\....\datamat.html,5985,2006-09-26
...........\....\......\...........\....\ekf.html,19678,2006-09-26
...........\....\......\...........\....\fixinfds.html,7771,2006-09-26
...........\....\......\...........\....\gauseval.html,9400,2006-09-26
...........\....\......\...........\....\gaussample.html,6780,2006-09-26
...........\....\......\...........\....\geninfds.html,145579,2006-09-26
...........\....\......\...........\....\gennoiseds.html,63059,2006-09-26
...........\....\......\...........\....\gensysnoiseds.html,64819,2006-09-26
...........\....\......\...........\....\gmmfit.html,19755,2006-09-26
...........\....\......\...........\....\gmminitialize.html,11782,2006-09-26
...........\....\......\...........\....\gmmprobability.html,15963,2006-09-26
...........\....\......\...........\....\gmmsample.html,9383,2006-09-26
...........\....\......\...........\....\gmsppf.html,25966,2006-09-26
...........\....\......\...........\....\gmsppf2.html,11523,2006-09-26
...........\....\......\...........\....\graph.dot,2922,2006-09-26
...........\....\......\...........\....\graph.html,5146,2006-09-26
...........\....\......\...........\....\graph.map,3817,2006-09-26

...........\....\......\...........\....\gspf.html,22094,2006-09-26
...........\....\......\...........\....\gssm.html,59925,2006-09-26
...........\....\......\...........\....\kf.html,19183,2006-09-26
...........\....\......\...........\....\menu.html,9147,2006-09-26
...........\....\......\...........\....\mlpff.html,10015,2006-09-26
...........\....\......\...........\....\mlpindexgen.html,9226,2006-09-26
...........\....\......\...........\....\mlpjacobian.html,19278,2006-09-26
...........\....\......\...........\....\mlppack.html,7952,2006-09-26
...........\....\......\...........\....\mlpunpack.html,10094,2006-09-26
...........\....\......\...........\....\mlpweightinit.html,10577,2006-09-26

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • stdio_example
    matlab中用C语言编写sfunction, 实现读取文件中的数据，应用库"stdio.h"(matlab using C language sfunction, realize the data read from the file, the application library stdio.h)
    2007-10-15 17:23:56下载
    积分：1
  • WT-ddencmp
    对MATLAB中给出的信号进行默认阈值与软阈值的小波去噪(Signal given in the MATLAB default threshold and soft threshold wavelet de-noising)
    2013-04-12 09:59:55下载
    积分：1
  • GA
    说明：  遗传算法具有强大的全局优化能力，并行计算的快速收敛性(Genetic algorithm has strong global optimization ability and fast convergence of parallel computing)
    2020-06-23 00:20:02下载
    积分：1
  • OFDM
    该文件夹内是正交频分复用的matlab程序实现方法，希望对大家学习有用(The folder is orthogonal frequency division multiplexing matlab program implementation, we hope to learn useful)
    2015-01-14 18:54:17下载
    积分：1
  • shiyan4
    数字图像处理课程上机实验4_Matlab图像锐化-Sobel，Laplacian算子(Digital Image Processing courses on experiments 4_Matlab image sharpening-Sobel, Laplacian operator)
    2014-01-02 17:13:42下载
    积分：1
  • dishizhang
    MATLAB时频分析技术及其应用MATLAB时频分析技术及其应用(MATLAB time-frequency analysis technology and its applicationsMATLAB time-frequency analysis technology and its applications)
    2009-05-31 10:20:05下载
    积分：1
  • Robust-extreme-learning-machine
    Robust extreme learning machine Robust extreme learning machine
    2013-01-19 10:57:33下载
    积分：1
  • hzt-report
    关于恶意代码检测和LTE网络，4G的LTE-A网络的外语文章(Foreign-language article about malicious code detection and lte network, lte-a network of 4g)
    2014-01-02 18:04:43下载
    积分：1
  • reconstruct
    16信道化合成matlab仿真，基于一种新的方式，非杨小牛书上的那种，并且易于FPGA实现(16 channel combined into the matlab simulation, based on a new way, the Yang books of that kind of, and easy to FPGA implementation )
    2020-09-08 18:58:03下载
    积分：1
  • getPDF2
    In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization
    2010-08-11 18:46:04下载
    积分：1
  • 696518资源总数
  • 106164会员总数
  • 18今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2025 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！