登录
首页 » matlab » PCE_Example

PCE_Example

于 2021-02-21 发布 文件大小:406KB
0 214
下载积分: 1 下载次数: 41

代码说明:

  用于混沌多项式扩展的代码,例子较多,有些比较复杂,深入浅出(Code for the extension of chaotic polynomials)

文件列表:

gpc_example_code_Laloy_et_al_2013, 0 , 2016-09-22
gpc_example_code_Laloy_et_al_2013\.DS_Store, 6148 , 2016-08-01
__MACOSX, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\._.DS_Store, 120 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools, 0 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\.DS_Store, 6148 , 2016-08-01
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._.DS_Store, 120 , 2016-08-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\c1_leg_monomial_integral.m, 1024 , 2012-08-29
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._c1_leg_monomial_integral.m, 223 , 2012-08-29
gpc_example_code_Laloy_et_al_2013\gpc_tools\chaos_sequence.m, 448 , 2008-07-01
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._chaos_sequence.m, 223 , 2008-07-01
gpc_example_code_Laloy_et_al_2013\gpc_tools\cn_leg_03_xiu.m, 1581 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._cn_leg_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\cn_leg_monomial_integral.m, 888 , 2012-08-29
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._cn_leg_monomial_integral.m, 223 , 2012-08-29
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_besselj.m, 854 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_besselj.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_besselk.m, 916 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_besselk.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\correlation_matern.m, 1527 , 2013-04-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._correlation_matern.m, 223 , 2013-04-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_her_02_xiu.m, 1570 , 2013-04-15
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_her_02_xiu.m, 223 , 2013-04-15
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_her_03_xiu.m, 1476 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_her_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\en_r2_03_xiu.m, 1482 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\._en_r2_03_xiu.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid, 0 , 2014-06-06
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\binary_vector_next.m, 1477 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid, 0 , 2017-04-25
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._binary_vector_next.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute.m, 591 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_np.m, 702 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_points.m, 1704 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_points_np.m, 1230 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_weights.m, 617 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\ccn_compute_weights_np.m, 654 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._ccn_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev1_compute.m, 1470 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev1_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev1_integral.m, 1086 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev1_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev2_compute.m, 1525 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev2_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\chebyshev2_integral.m, 1116 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._chebyshev2_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute.m, 1918 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_points.m, 1242 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_points_np.m, 843 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_weights.m, 1563 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\clenshaw_curtis_compute_weights_np.m, 841 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._clenshaw_curtis_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next.m, 4181 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next_test.m, 1780 , 2012-08-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next_test.m, 223 , 2012-08-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\comp_next_tests.m, 1201 , 2012-08-16
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._comp_next_tests.m, 223 , 2012-08-16
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_antiderivative.m, 543 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_antiderivative.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_integrate.m, 550 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_integrate.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\cubic_value.m, 940 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._cubic_value.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_deriv.m, 1370 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_deriv.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_shift_x.m, 1855 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_shift_x.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_shift_zero.m, 1277 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_shift_zero.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\dif_to_r8poly.m, 1193 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._dif_to_r8poly.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute.m, 1826 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_points.m, 1159 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_points.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_points_np.m, 813 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_points_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_weights.m, 1816 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_weights.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\fejer2_compute_weights_np.m, 1208 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._fejer2_compute_weights_np.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_compute.m, 4188 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_compute.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_integral.m, 1032 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_integral.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_recur.m, 1318 , 2012-08-17
__MACOSX\gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\._gegenbauer_recur.m, 223 , 2012-08-17
gpc_example_code_Laloy_et_al_2013\gpc_tools\gauss-hermite_sparse_grid\gegenbauer_root.m, 1303 , 2012-08-17

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

  • LMS
    应用LMS算法去除噪声,纯净信号为各种数字调制信号,本程序中选的是数字调幅信号8ASK,噪声是高斯白噪声,信噪比可以任意指定。(Application of LMS algorithm to remove noise, clean signal for a variety of digital modulation signal, this procedure is successful digital AM signal 8ASK, noise is white Gaussian noise, signal to noise ratio can be specified.)
    2008-06-04 16:28:43下载
    积分:1
  • jcs44341-344
    The mobile robot has to find the optimal path which reduces the number of steps to be taken between the starting point and the target ending point. GAs can overcome many problems encountered by traditional search techniques such as the gradient based methods. The proposed controlling algorithm allows four-neighbor movements, so that path-planning can adapt with complicated search spaces with
    2010-03-11 11:45:29下载
    积分:1
  • nr
    说明:  牛顿拉普逊法就算配电网重构的潮流程序,结构清晰易懂。(Newton Raphson method Rapp trend even if the distribution network reconfiguration process, clear and understandable structure.)
    2010-04-24 15:39:10下载
    积分:1
  • robotInverseKinematics
    偏执类工业机器人逆运动学解数值解法程序主代码(industry robot inverse kinematics)
    2014-09-26 20:19:35下载
    积分:1
  • matlab_xinhaochuli
    有关matlab的信号处理资料,包括滤波、去噪等,每个类型有具体的解释和例子!(The matlab signal processing, including filtering, denoising, each type has a specific explanation and examples!)
    2011-10-14 18:30:57下载
    积分:1
  • gongetidufa
    一种共轭梯度法的matlab函数,可以用于求解病态的线性方程组,提高求解精度.还提供了算法的介绍文档(A conjugate gradient method of matlab function, can be used to solve ill-conditioned linear equations, improve the accuracy of solving)
    2016-11-27 00:28:58下载
    积分:1
  • gatbx
    matlab计算程序 遗传算法中的一个例子 很值得学习(matlab genetic algorithm calculation of an example is worth studying)
    2008-08-04 00:13:22下载
    积分:1
  • SCME-2006-08-30
    3GPP Spatial Channel Model Extended
    2010-05-09 20:54:30下载
    积分:1
  • Capon
    运用最小均方误差方法实现波束形成,包括均匀直线阵和平面阵(Using the minimum mean square error method to achieve beamforming, including the uniform linear array and planar array.)
    2012-05-05 10:53:07下载
    积分:1
  • Resize_Bilinear
    Codes for Resizing Images with Bilinear Interpolation, without using Matlab embedded function.
    2009-12-15 20:41:34下载
    积分:1
  • 696518资源总数
  • 104432会员总数
  • 16今日下载