登录
首页 » matlab » cart2geodet

cart2geodet

于 2014-11-12 发布 文件大小:1KB
0 113
下载积分: 1 下载次数: 1

代码说明:

  m file to convert Lat Long geodetic coordinate system to Cartesian

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

  • dp33
    Frame Difference in image processing
    2009-12-01 11:34:01下载
    积分:1
  • stateflow
    Simulink中stateflow事件驱动建模工具官方教程。里面是中文介绍。(Simulink, stateflow event-driven modeling tool for the official tutorial. Inside the Chinese introduced.)
    2012-08-14 18:07:47下载
    积分:1
  • spline
    matlab小波变换源代码,供广大研究者学习(matlab wavelet transform source code, for the majority of researchers to learn)
    2013-11-22 21:37:29下载
    积分:1
  • spectrum
    Power spectrum with windowing and sinus signal generator
    2012-05-17 19:26:31下载
    积分:1
  • Reversible_Jump_MCMC_Bayesian_Model_Selection
    This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )
    2008-03-07 23:23:12下载
    积分:1
  • myVAD
    This is another source code for speech recognition.. this is the voice active detection using energy detection
    2010-02-05 00:40:27下载
    积分:1
  • matlab-FEM
    帮助matlab使用者编译有限元程序,对初学者来书上手很快。(Utility for member proceeding FEM)
    2010-05-26 14:28:13下载
    积分:1
  • ompbox7
    compressive sensing theory
    2013-08-16 21:20:20下载
    积分:1
  • Pchap55i
    基于遗传算法的pid整定的maatlab的源代码 可直接使用。 (Based on genetic algorithm pid the tuning maatlab the source code can be used directly.)
    2012-09-30 19:21:45下载
    积分:1
  • MY_MPCController3
    说明:  基于模型预测控制算法做自动驾驶车辆跟踪圆型轨迹例程(Using model predictive control algorithm to track circular trajectory of autonomous vehicle)
    2020-12-04 10:59:25下载
    积分:1
  • 696518资源总数
  • 104509会员总数
  • 10今日下载