登录
首页 » matlab » Kernel-Smoothing-Toolbox

Kernel-Smoothing-Toolbox

于 2013-03-05 发布 文件大小:981KB
0 267
下载积分: 1 下载次数: 105

代码说明:

  数据的核密度估计及平滑处理 包含各种窗函数(Kernel Smoothing Toolbox for matlab)

文件列表:

kerns
.....\bivardens
.....\.........\AISB.m,1177,2013-01-15
.....\.........\AIV.m,509,2012-03-29
.....\.........\amiseopt2.m,3156,2011-09-02
.....\.........\cv.m,1306,2011-09-02
.....\.........\drkernbivar.m,1370,2012-03-18
.....\.........\evolcv.m,2103,2011-09-02
.....\.........\funkce_g.m,2415,2011-09-02
.....\.........\funkce_g3.m,1712,2011-09-02
.....\.........\gausskern.m,649,2013-01-25
.....\.........\hledej.m,2050,2011-09-02
.....\.........\H_iter.m,1540,2013-01-23
.....\.........\izelpokus2.m,2468,2011-09-02
.....\.........\kernconv.m,2011,2011-09-02
.....\.........\kernconv2der.m,531,2011-09-02
.....\.........\komutacni_matice.m,363,2012-03-29
.....\.........\konvik_CK20.mat,770,2013-01-23
.....\.........\konvik_CK30.mat,513,2013-01-15
.....\.........\konvoluceC.m,539,2012-04-05
.....\.........\ksmultidens.m,1598,2013-01-25
.....\.........\lscv_m.m,2078,2011-09-03
.....\.........\misefull.m,1396,2011-09-03
.....\.........\msp.m,932,2011-09-05
.....\.........\nase.m,1603,2011-09-03
.....\.........\plcv.m,1675,2011-09-03
.....\.........\productkern.m,803,2013-01-25
.....\.........\prosvitbivar.m,320,2011-09-03
.....\.........\simulbivar.m,26358,2011-09-13
.....\.........\sitmise.m,1729,2011-09-03
.....\.........\sitnase.m,1589,2011-09-03
.....\.........\spherickern.m,1781,2013-01-25
.....\.........\steff_spec.m,1301,2011-09-03
.....\.........\wand.m,602,2011-09-03
.....\.........\zadanibivar.m,22735,2013-01-23
.....\cdf
.....\...\base
.....\...\....\Kconv_coef.m,2616,2008-04-04
.....\...\....\Kconv_def.m,3498,2011-01-12
.....\...\....\Kconv_der.m,824,2011-01-12
.....\...\....\Kconv_val.m,733,2011-01-12
.....\...\....\K_def.m,5276,2011-01-12
.....\...\....\K_der.m,1253,2011-01-12
.....\...\....\K_dest.m,938,2011-01-12
.....\...\....\K_opt.m,857,2011-01-12
.....\...\....\K_val.m,1604,2011-01-12
.....\...\....\movepol.m,274,2006-06-06
.....\...\....\row.m,163,2000-01-10
.....\...\....\W_def.m,875,2011-01-12
.....\...\....\W_val.m,973,2011-01-12
.....\...\CDF_autopars.m,1545,2012-03-29
.....\...\CDF_bandw.m,653,2012-04-03
.....\...\CDF_band_wrong.m,659,2012-03-29
.....\...\CDF_bounds_left.m,746,2012-04-03
.....\...\CDF_bounds_par.m,4365,2012-03-29
.....\...\CDF_bounds_right.m,749,2012-04-03
.....\...\CDF_countbands.m,601,2012-04-03
.....\...\CDF_data.mat,1053,2011-01-13
.....\...\CDF_datadraw.m,274,2012-03-29
.....\...\CDF_datainput.m,5265,2012-04-03
.....\...\CDF_datasave-old.m,4805,2012-04-03
.....\...\CDF_datasave.m,4805,2012-04-03
.....\...\CDF_DrawF.m,565,2012-04-03
.....\...\CDF_empdfdraw.m,326,2012-04-03
.....\...\CDF_estimdraw.m,629,2012-04-03
.....\...\CDF_estimpars.m,8112,2012-04-03
.....\...\CDF_eye.m,10071,2012-04-19
.....\...\CDF_histpars.m,1813,2012-03-29
.....\...\CDF_kerchoice.m,5102,2012-03-29
.....\...\CDF_kerdraw.m,568,2012-03-29
.....\...\CDF_kerpars.m,5107,2012-03-29
.....\...\CDF_randtool.m,34704,2012-03-29
.....\...\CDF_setting.m,20409,2012-04-30
.....\...\CDF_warning.m,790,2012-03-29
.....\...\exp_data.mat,1759,2012-04-17
.....\...\functions
.....\...\.........\c_one.m,130,2007-04-11
.....\...\.........\c_two.m,550,2011-06-02
.....\...\.........\demo_cdf.m,372,2012-03-28
.....\...\.........\distf_emp.m,131,2006-03-16
.....\...\.........\h_Altman.m,397,2007-05-14
.....\...\.........\h_F.m,123,2007-05-14
.....\...\.........\h_Fms.m,278,2007-05-14
.....\...\.........\h_iter.m,838,2006-02-28
.....\...\.........\iter1.m,461,2011-12-11
.....\...\.........\iter_bistef.m,1330,2007-03-14
.....\...\.........\Kconv_def.m,3498,2011-01-12
.....\...\.........\Kconv_der.m,929,2011-11-08
.....\...\.........\Kconv_val.m,733,2011-01-12
.....\...\.........\K_cdfest.m,122,2011-12-11
.....\...\.........\K_def.m,5276,2011-01-12
.....\...\.........\K_der.m,1253,2011-01-12
.....\...\.........\K_dest.m,938,2011-01-12
.....\...\.........\K_opt.m,857,2011-01-12
.....\...\.........\K_val.m,1604,2011-01-12
.....\...\.........\movepol.m,274,2006-06-06
.....\...\.........\psi_two.m,154,2007-08-10
.....\...\.........\row.m,163,2000-01-10
.....\...\.........\W_def.m,875,2011-01-12
.....\...\.........\W_val.m,973,2011-01-12

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

  • 011fir16_matlab
    给出了通过MATLAB设计FIR滤波器的程序,只需要输入滤波器类型和参数就能设计出特定滤波器,并产生DSP需要的数据,很有意义。(MATLAB is given through the FIR filter design process, only the type and parameters of input filter will be able to design a specific filter, and DSP have the data needed and meaningful.)
    2009-06-15 10:31:19下载
    积分:1
  • SimulateDeposition
    利用了matlab对相场法算枝晶,可以看到图像(Matlab using the phase-field method for the calculation of dendrites, you can see the image)
    2020-12-02 12:49:25下载
    积分:1
  • s.c
    The file introduces a modified method for maximum power point tracking of a photovoltaic array by the short circuit method.
    2013-11-07 07:54:09下载
    积分:1
  • GM
    输入一组振动数据,灰色预测算法会预测其后的振动趋势(input vibration data,and this algorithm will predict the vibration trend)
    2012-11-27 12:42:53下载
    积分:1
  • plotHermiteGaussianBeams
    厄米高斯光束的仿真软件,可仿真基本的厄米高斯光束及其光斑。(Hermite Gaussian beam simulation software can simulate basic Hermite Gaussian beam and spot.)
    2013-12-27 01:57:00下载
    积分:1
  • FisherFace_New
    费歇尔准则要求类间均值差异最大而类内的离差平方和最小。(Fischer guidelines require the mean difference between the class and the maximum and minimum sum of squares within the class.)
    2020-11-15 21:09:41下载
    积分:1
  • 2E-VRP-ABC-master
    The program can be used. ABC algorithm can solve the VRP Problem for reference.
    2020-06-30 15:40:02下载
    积分:1
  • ultra-wideband-radio-basedsource
    超宽带无线电基础源码,就是超宽带里面的一些程序。(Ultra-wideband radio-based source code, that is, some of the procedures inside the ultra-wideband)
    2009-09-11 23:14:01下载
    积分:1
  • tixingguanzi2
    分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39%;二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)
    2014-01-09 14:11:20下载
    积分:1
  • IMM_PF
    IMM Particle Filter for ballistic projectile tracking
    2020-11-05 22:19:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载