登录
首页 » matlab » ooDACE-1.4

ooDACE-1.4

于 2019-03-30 发布
0 216
下载积分: 1 下载次数: 8

代码说明:

说明:  克里金模型的MATLAB工具箱,克里金模型是比较流行的空间插值算法(MATLAB Toolbox for Kriging Model)

文件列表:

ooDACE, 0 , 2014-03-03
ooDACE\@BasicGaussianProcess, 0 , 2014-03-01
ooDACE\@BasicGaussianProcess\BasicGaussianProcess.m, 27663 , 2013-05-04
ooDACE\@BasicGaussianProcess\correlationFunction.m, 4996 , 2013-05-04
ooDACE\@BasicGaussianProcess\cvpe.m, 3158 , 2013-06-03
ooDACE\@BasicGaussianProcess\extrinsicCorrelationMatrix.m, 4026 , 2013-06-03
ooDACE\@BasicGaussianProcess\fit.m, 6303 , 2013-06-03
ooDACE\@BasicGaussianProcess\generateDegrees.m, 4032 , 2013-06-03
ooDACE\@BasicGaussianProcess\getExpression.m, 2172 , 2013-06-03
ooDACE\@BasicGaussianProcess\imse.m, 4019 , 2013-06-03
ooDACE\@BasicGaussianProcess\intrinsicCovarianceMatrix.m, 3027 , 2013-06-03
ooDACE\@BasicGaussianProcess\likelihood.m, 2641 , 2013-05-04
ooDACE\@BasicGaussianProcess\marginalLikelihood.m, 5157 , 2013-06-03
ooDACE\@BasicGaussianProcess\mseTestset.m, 1725 , 2013-06-03
ooDACE\@BasicGaussianProcess\plotLikelihood.m, 4365 , 2013-06-03
ooDACE\@BasicGaussianProcess\plotVariogram.m, 4336 , 2013-06-03
ooDACE\@BasicGaussianProcess\predict.m, 3407 , 2013-06-03
ooDACE\@BasicGaussianProcess\predict_derivatives.m, 2712 , 2013-06-03
ooDACE\@BasicGaussianProcess\pseudoLikelihood.m, 2869 , 2013-06-03
ooDACE\@BasicGaussianProcess\rcValues.m, 2124 , 2013-06-03
ooDACE\@BasicGaussianProcess\regressionFunction.m, 4552 , 2013-06-03
ooDACE\@BasicGaussianProcess\regressionMatrix.m, 2756 , 2013-06-03
ooDACE\@BasicGaussianProcess\tuneParameters.m, 3493 , 2013-06-03
ooDACE\@BasicGaussianProcess\updateModel.m, 2472 , 2013-06-03
ooDACE\@BasicGaussianProcess\updateRegression.m, 4258 , 2013-06-03
ooDACE\@BasicGaussianProcess\updateStochasticProcess.m, 4126 , 2013-06-03
ooDACE\@BlindKriging, 0 , 2014-03-01
ooDACE\@BlindKriging\BlindKriging.m, 8071 , 2013-06-03
ooDACE\@BlindKriging\fit.m, 9694 , 2013-06-03
ooDACE\@BlindKriging\polynomialCoding.m, 2393 , 2013-06-03
ooDACE\@BlindKriging\posteriorBeta.m, 2575 , 2013-06-03
ooDACE\@BlindKriging\regressionFunction.m, 5563 , 2013-06-03
ooDACE\@BlindKriging\regressionMatrix.m, 2821 , 2013-06-03
ooDACE\@BlindKriging\Rmatrix.m, 5035 , 2013-06-03
ooDACE\@CoKriging, 0 , 2014-03-01
ooDACE\@CoKriging\CoKriging.m, 8488 , 2013-05-04
ooDACE\@CoKriging\correlationFunction.m, 2059 , 2013-06-03
ooDACE\@CoKriging\extrinsicCorrelationMatrix.m, 4862 , 2013-06-03
ooDACE\@CoKriging\fit.m, 4536 , 2013-06-03
ooDACE\@CoKriging\intrinsicCovarianceMatrix.m, 3493 , 2013-06-03
ooDACE\@CoKriging\regressionFunction.m, 2028 , 2013-06-03
ooDACE\@CoKriging\regressionMatrix.m, 2448 , 2013-06-03
ooDACE\@CoKriging\setData.m, 2146 , 2013-06-03
ooDACE\@Kriging, 0 , 2014-03-01
ooDACE\@Kriging\cvpe.m, 1802 , 2013-06-03
ooDACE\@Kriging\getExpression.m, 2412 , 2013-06-03
ooDACE\@Kriging\Kriging.m, 6939 , 2013-06-03
ooDACE\@Kriging\predict.m, 2372 , 2013-06-03
ooDACE\@Kriging\predict_derivatives.m, 2463 , 2013-06-03
ooDACE\@Kriging\setData.m, 2806 , 2013-06-03
ooDACE\agpl-3.0.txt, 34520 , 2008-01-23
ooDACE\basisfunctions, 0 , 2014-03-01
ooDACE\basisfunctions\corrcubic.m, 2267 , 2013-06-03
ooDACE\basisfunctions\correxp.m, 2006 , 2013-06-03
ooDACE\basisfunctions\corrgauss.m, 2158 , 2013-06-03
ooDACE\basisfunctions\corrgaussp.m, 2329 , 2013-06-03
ooDACE\basisfunctions\corrlin.m, 2385 , 2013-06-03
ooDACE\basisfunctions\corrmatern32.m, 2948 , 2013-06-03
ooDACE\basisfunctions\corrmatern32iso.m, 2976 , 2013-06-03
ooDACE\basisfunctions\corrmatern32_iso.m, 2979 , 2013-06-03
ooDACE\basisfunctions\corrmatern32_variance.m, 3025 , 2013-06-03
ooDACE\basisfunctions\corrmatern52.m, 2948 , 2013-06-03
ooDACE\basisfunctions\corrspherical.m, 2250 , 2013-06-03
ooDACE\basisfunctions\corrspline.m, 3010 , 2013-06-03
ooDACE\basisfunctions\covmatern32.m, 3015 , 2013-06-03
ooDACE\changelog.txt, 2021 , 2013-06-03
ooDACE\contrib, 0 , 2014-03-01
ooDACE\contrib\cholincsp.m, 3684 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib, 0 , 2014-03-01
ooDACE\contrib\sqplab-0.4.5-distrib\COPYING, 4570 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\doc, 0 , 2014-03-01
ooDACE\contrib\sqplab-0.4.5-distrib\doc\doc.pdf, 209383 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example, 0 , 2014-03-01
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain.m, 6720 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_data.m, 837 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_dimopt.m, 927 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_initopt.m, 2705 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_orig.eps, 10534 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_orig.res, 4715 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_plot.m, 2664 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_plot_params.m, 1226 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_postopt.m, 1992 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\hanging_chain_simul.m, 9275 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\example\README, 918 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src, 0 , 2014-03-01
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab.m, 13126 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_armijo.m, 6081 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_badsimul.m, 1237 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_bfgs.m, 3990 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_bfgs_inv.m, 4113 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_checkoptions.m, 5567 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_dnorm.m, 974 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_finish.m, 3616 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_givens.m, 1173 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_lgivens.m, 1099 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_loop.m, 13698 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_lsmult.m, 6289 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_merit.m, 1521 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_optimality.m, 2921 , 2013-05-04
ooDACE\contrib\sqplab-0.4.5-distrib\src\sqplab_options.m, 6652 , 2013-05-04

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

  • 20101014-Nested-Array-Pattern
    Nested Array Antenna Simulation
    2011-10-04 19:58:08下载
    积分:1
  • DriferTracking
    漂流跟踪文献,主要是高频地波雷达相关内容。仅作参考(Rafting tracking literature, mainly HFSWR related content. For reference only)
    2013-10-16 23:51:15下载
    积分:1
  • ofdm-ls-dft.txt
    ofdm信道估计,用ls和dft的不同的方法进行了比较,有ber曲线(ofd channel estimation)
    2015-05-08 14:47:31下载
    积分:1
  • benchmarks_test_pso
    粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示,粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本,对于初学者可以通过此程序快速的实现入门,以便将更多的精力投入到深层次的研究中去!同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)
    2016-09-23 16:26:52下载
    积分:1
  • GOS_CFAR
    说明:  广义有序统计类恒虚警检测器(GOS-CFAR),包括广义有序平均检测(GOSCA)和广义有序最值检测(GOSGO和GOSSO)(detectors based on the general ordered statistic constant false alarm rate (GOS-CFAR) technique.)
    2019-01-25 15:13:33下载
    积分:1
  • pe1_3
    说明:  BCH码的仿真,系统自带库函数BCHencode和BCH的code,支持任何非本原BCH和本原BCH码仿真,包含交织模块,支持matlab2017b以上(BCH code simulation, the system comes with library functions BCHencode and BCH code, supports any non-primary BCH and primitive BCH code simulation, including interleaving module, supports matlab2017b and above)
    2020-07-16 14:48:50下载
    积分:1
  • 4fsk_0.1
    跳频(占空比为0.1)4fsk的部分频带干扰误码率计算,这个程序是基于matlab的,自己编的,呵呵(Frequency Hopping (duty cycle 0.1) 4fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)
    2011-05-14 10:22:03下载
    积分:1
  • 04566477.pdf
    A New Image Filter for Impulsive Noise Based on Rough Sets
    2013-10-24 18:58:38下载
    积分:1
  • coif6Transform
    The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)
    2012-11-24 20:41:51下载
    积分:1
  • ddd
    试用Newton插值多项式计算f(1.13)的近似值(Trial of Newton interpolation approximation of polynomial computation f1.13 )
    2009-12-23 15:45:06下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载