登录
首页 » matlab » KLMS

KLMS

于 2016-05-06 发布 文件大小:1999KB
0 239
下载积分: 1 下载次数: 48

代码说明:

  此文件是Weifeng Liu等编著《Kernel Adaptive Filtering A Comprehensive Introduction》一书的源代码。对应书上每一章节。是学习Kernel adaptive filter的不二选择。(This document is the source code of Liu Weifeng, a compiled book book that corresponds to each chapter. Learning kernel adaptive filter of choice.)

文件列表:

KLMS
....\ch2_codes
....\.........\channelEq
....\.........\.........\PART1.m,2520,2016-05-04
....\.........\.........\PART2.m,3971,2016-05-06
....\.........\mg_prediction
....\.........\.............\gramMatrix.m,714,2008-10-19
....\.........\.............\ker_eval.m,752,2008-10-19
....\.........\.............\KLMS1.m,2143,2008-10-19
....\.........\.............\KLMS1_LC.m,2866,2009-02-07
....\.........\.............\KLMS3.m,3327,2008-10-19
....\.........\.............\LMS1.m,1460,2008-10-19
....\.........\.............\MK30.mat,37821,2008-10-19
....\.........\.............\PART1.m,2449,2009-05-17
....\.........\.............\PART10.m,4385,2009-02-07
....\.........\.............\PART2.m,4056,2008-10-19
....\.........\.............\PART3.m,2751,2009-05-17
....\.........\.............\PART4.m,4666,2009-05-17
....\.........\.............\PART5.m,5051,2009-05-17
....\.........\.............\PART6.m,5173,2008-10-19
....\.........\.............\PART7.m,5052,2009-05-17
....\.........\.............\PART8.m,4027,2009-05-17
....\.........\.............\PART9.m,7351,2009-05-17
....\.........\.............\regularizationNetwork.m,1579,2008-10-19
....\.........\.............\sparseKLMS1.m,3907,2008-10-19
....\.........\regularization_function
....\.........\.......................\regularizationfuntion.m,2102,2009-05-17
....\ch3_codes
....\.........\channelEq
....\.........\.........\APA1.m,2160,2008-10-19
....\.........\.........\APA1s.m,1858,2008-10-19
....\.........\.........\gramMatrix.m,714,2008-10-19
....\.........\.........\ker_eval.m,689,2008-10-19
....\.........\.........\LMS1.m,2049,2008-10-19
....\.........\.........\LMS1s.m,1705,2008-10-19
....\.........\.........\LMS2.m,2163,2008-10-19
....\.........\.........\PART1.m,8351,2009-05-18
....\.........\.........\PART2.m,9302,2009-05-18
....\.........\.........\PART3.m,5888,2009-05-18
....\.........\.........\sparseKAPA1.m,4866,2008-10-19
....\.........\.........\sparseKAPA1s.m,4207,2008-10-19
....\.........\.........\sparseKAPA2.m,5095,2008-10-19
....\.........\.........\sparseKAPA2s.m,4443,2008-10-19
....\.........\.........\sparseKLMS1.m,4144,2008-10-19
....\.........\.........\sparseKLMS1s.m,3635,2008-10-19
....\.........\mg_prediction
....\.........\.............\gramMatrix.m,714,2008-10-19
....\.........\.............\KAPA1.m,4217,2008-10-19
....\.........\.............\KAPA2.m,4454,2008-10-19
....\.........\.............\ker_eval.m,689,2008-10-19
....\.........\.............\KLMS1.m,2863,2008-10-19
....\.........\.............\KRLS.m,3093,2008-10-19
....\.........\.............\LMS1.m,2049,2008-10-19
....\.........\.............\MK30.mat,37821,2008-10-19
....\.........\.............\PART1.m,6174,2009-05-17
....\.........\.............\PART2.m,7571,2009-05-18
....\.........\.............\slidingWindowKRLS.m,3632,2008-10-19
....\.........\.............\sparseKAPA1.m,4626,2008-10-19
....\.........\.............\sparseKAPA2.m,4870,2008-10-19
....\.........\.............\sparseKLMS1.m,3907,2008-10-19
....\.........\noiseCancelation
....\.........\................\fmri.mat,1580350,2008-10-19
....\.........\................\gramMatrix.m,714,2008-10-19
....\.........\................\ker_eval.m,689,2008-10-19
....\.........\................\LMS2.m,2395,2008-10-19
....\.........\................\PART1.m,5662,2009-05-17
....\.........\................\PART2.m,4786,2009-05-17
....\.........\................\sparseKAPA2.m,4393,2008-10-19
....\.........\................\sparseKLMS1.m,3517,2008-10-19
....\ch4_codes
....\.........\channelEq
....\.........\.........\gramMatrix.m,714,2008-10-19
....\.........\.........\ker_eval.m,689,2008-10-19
....\.........\.........\KRLS_ALDs.m,3705,2009-08-08
....\.........\.........\PART1.asv,3857,2009-08-10
....\.........\.........\PART1.m,3834,2009-08-10
....\.........\.........\PART3.asv,3740,2009-08-08
....\.........\.........\PART3.m,3945,2009-08-10
....\.........\.........\sparseKLMS1.m,4144,2008-10-19
....\.........\.........\sparseKLMS1s.asv,3639,2009-08-08
....\.........\.........\sparseKLMS1s.m,3693,2009-08-08
....\.........\gpr
....\.........\...\gpml-matlab
....\.........\...\...........\gpml
....\.........\...\...........\....\approxEP.m,5097,2007-07-24
....\.........\...\...........\....\approximations.m,1936,2007-06-27
....\.........\...\...........\....\approxLA.m,3094,2007-06-26
....\.........\...\...........\....\binaryEPGP.m,2671,2007-06-26
....\.........\...\...........\....\binaryGP.m,6941,2007-06-27
....\.........\...\...........\....\binaryLaplaceGP.m,3071,2007-06-26
....\.........\...\...........\....\Contents.m,2656,2007-06-26
....\.........\...\...........\....\htm" target=_blank>Copyright,776,2007-06-26
....\.........\...\...........\....\covConst.m,774,2007-07-24
....\.........\...\...........\....\covFunctions.m,4136,2006-05-15
....\.........\...\...........\....\covLINard.m,1046,2006-03-27
....\.........\...\...........\....\covLINone.m,984,2006-03-27
....\.........\...\...........\....\covMatern3iso.m,1392,2007-06-26
....\.........\...\...........\....\covMatern5iso.m,1417,2007-06-26
....\.........\...\...........\....\covNNone.m,2060,2007-06-26
....\.........\...\...........\....\covNoise.m,1065,2006-03-24

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

  • SUI3test3
    WIMAX SUI3 CHANNEL MODE EVALUATION BASED ON MATLAB(WiMAX SUI3 CHANNEL MODE EVALUATION BASED O N MATLAB)
    2006-11-15 16:37:44下载
    积分:1
  • Untitled
    QPSk Modulation using matlab spread spectrum systems MATLAB source code, wireless spread-spectrum communication system function
    2011-07-04 17:20:45下载
    积分:1
  • solarstreetlight
    Study of a DC-DC Converter for Solar LED Street Lighting: Recently, light-emitting diodes (LEDs) are becoming increasingly attractive lighting sources in our daily lives. They are well suited to indoor and outdoor energy-saving lighting applications, such as general lighting, architectural lighting, traffic lighting, background lighting, displays, street lighting, automotive and motorcycle lighting, decorative lighting, and so on. The placement of street lights is closely related to the development of one area or region, and they represent the financial success of a city. For street lighting applications, the traditional lighting sources are high-pressure sodium lamps and high-pressure mercury lamps. Recently, LEDs are commonly being used as new sources for street lighting because of their attractive features of good lighting efficacy, energy-savings, that they are non-polluting to our environment, and that they offer a long lifetime in comparison to their traditional counterparts.
    2014-08-16 22:00:26下载
    积分:1
  • Invert_HTIxHTI_phase2
    cwp su地震处理软件的一个小程序 cwp su地震处理软件的一个小程序(cwp su seismic processing software is a small program cwp su seismic processing software is a small program)
    2011-09-17 16:30:19下载
    积分:1
  • newpso
    这是一种改进的粒子群优化算法,通过简单的测试函数验证(This is an improved particle swarm optimization, through a simple test function verification)
    2013-10-29 10:02:58下载
    积分:1
  • cortab01
    cortab function for wavelet analysis
    2013-05-15 03:21:43下载
    积分:1
  • Facedetection
    Face detection using matlab
    2010-10-22 16:15:17下载
    积分:1
  • four-wei-scale
    在基于Mean-Shift的目标跟踪算法中,尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2.D矢量压缩为1一D量,未能精细地 刻画目标仿射变换时的尺度变化,从而限制了算法的适用范围。为此,该文将尺度维1.D滤波推广至2一D,构造得 到了相应的垂D尺度空间,并利用窄间维和尺度维的Mean-Shift交替迭代,实现了同时在空间位置和尺度方向对 目标的有效跟踪,提高了算法在目标尺度变化时的自适应性,并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)
    2012-06-08 22:53:43下载
    积分:1
  • A1_11
    mathews数值分析书的源代码,用matlab编写,第一章第十一部分。(mathews numerical analysis of the book' s source code, using matlab, the first chapter of Part XI.)
    2011-10-20 10:25:27下载
    积分:1
  • Arithmetic-coding
    算术编码的程序,是一种经典的程序,可以作为一个函数来使用。(Arithmetic coding procedures, is a classic program that can be used as a function.)
    2013-12-23 17:13:10下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载