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simfeat

于 2021-03-12 发布 文件大小:2005KB
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  一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码(a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source)

文件列表：

simfeat
.......\Contents.m,2604,2013-05-23
.......\Contents.m~,2607,2013-05-23
.......\gpml-matlab
.......\...........\doc





.......\...........\...\alg51.gif,60084,2006-03-07
.......\...........\...\alg52.gif,41085,2006-03-07
.......\...........\...\classification.html,34439,2006-03-25
.......\...........\...\fig2d.gif,36772,2006-03-14
.......\...........\...\fig2de1.gif,35364,2006-03-14
.......\...........\...\fig2de2.gif,42683,2006-03-14
.......\...........\...\fig2de3.gif,38483,2006-03-14
.......\...........\...\fig2dl1.gif,34059,2006-03-14
.......\...........\...\fig2dl2.gif,40431,2006-03-14
.......\...........\...\fig2dl3.gif,38375,2006-03-14
.......\...........\...\figepp.gif,17875,2006-03-10
.......\...........\...\figepp2.gif,23299,2006-03-10
.......\...........\...\figl.gif,6109,2006-03-27
.......\...........\...\figl1.gif,21386,2006-03-07
.......\...........\...\figlapp.gif,17854,2006-03-09
.......\...........\...\figlapp2.gif,25557,2006-03-09
.......\...........\...\figlf.gif,16078,2006-03-27
.......\...........\...\figlm.gif,16712,2006-03-27
.......\...........\...\index.html,3461,2007-06-26
.......\...........\...\regression.html,16598,2006-03-28
.......\...........\...\sparse-approx.html,7738,2006-03-29
.......\...........\...\style.css,77,2006-03-07
.......\...........\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
.......\...........\....\covPeriodic.m,1085,2006-04-07
.......\...........\....\covProd.m,2582,2006-04-07
.......\...........\....\covRQard.m,1811,2007-06-26
.......\...........\....\covRQiso.m,1647,2007-06-26
.......\...........\....\covSEard.m,1713,2007-06-26
.......\...........\....\covSEiso.m,1349,2007-06-27
.......\...........\....\covSum.m,2400,2006-03-20
.......\...........\....\cumGauss.m,3383,2007-06-26
.......\...........\....\gauher.m,2235,2007-07-24
.......\...........\....\gpr.m,2811,2010-06-23
.......\...........\....\gprSRPP.m,2963,2006-03-29
.......\...........\....\likelihoods.m,1222,2007-06-26
.......\...........\....\logistic.m,4453,2007-07-25
.......\...........\....\Makefile,131,2006-03-29
.......\...........\....\minimize.m,8997,2009-06-03
.......\...........\....\solve_chol.c,1236,2006-03-13
.......\...........\....\solve_chol.m,991,2006-03-13
.......\...........\....\sq_dist.c,1931,2006-03-13
.......\...........\....\sq_dist.m,2186,2006-03-13
.......\...........\gpml-demo
.......\...........\.........\Contents.m,791,2006-03-27
.......\...........\.........\data_6darm.mat,22768,2006-03-13
.......\...........\.........\data_boston.mat,57040,2006-03-29
.......\...........\.........\demo_ep_2d.m,7012,2006-03-29
.......\...........\.........\demo_ep_usps.m,6130,2006-03-29
.......\...........\.........\demo_gparm.m,8178,2006-03-29
.......\...........\.........\demo_gpr.m,9382,2006-03-29
.......\...........\.........\demo_gprsparse.m,6511,2006-03-29
.......\...........\.........\demo_laplace_2d.m,7257,2006-03-29
.......\...........\.........\demo_laplace_usps.m,6134,2006-03-29
.......\...........\htm" target=_blank>README,6291,2007-07-25
.......\lecture.pdf,2487015,2013-01-03
.......\methods
.......\.......\cca.m,1344,2012-12-27
.......\.......\cca.m~,1280,2012-12-27
.......\.......\cca2.m,1579,2012-12-20
.......\.......\dualpls.m,2187,2012-12-27
.......\.......\dualpls.m~,2210,2012-12-27
.......\.......\kcca.m,1643,2012-12-27
.......\.......\kcca.m~,1611,2012-12-27
.......\.......\keca.m,1157,2013-05-23
.......\.......\kmnf.m,994,2012-12-21
.......\.......\kopls.m,958,2012-12-27
.......\.......\kpca.m,831,2012-12-20
.......\.......\kpls.m,958,2012-12-27
.......\.......\kpls.m~,997,2012-12-27
.......\.......\mnf.m,611,2012-12-21
.......\.......\opls.m,715,2012-12-27
.......\.......\pca.m,535,2013-05-23
.......\.......\pca.m~,538,2013-05-23
.......\.......\pls.m,1930,2013-05-23

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  • puneng22
    这是个关于短时能量及谱熵的端点检测，还比较初步(This is a short-term on energy and entropy spectral endpoint detection, a preliminary comparison)
    2006-05-20 21:46:48下载
    积分：1
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    智能天线，自适应非盲算法LMS，用matlab编写而成。(Smart antennas, adaptive algorithm for non-blind LMS, compiled using matlab.)
    2010-05-12 01:04:59下载
    积分：1
  • MTD--Hamming
    动目标检测（MTD）领域的仿真，画出了加汉明窗之后的频率响应曲线，经调试，可以运行(Moving target detection (MTD) in the field of simulation, draw the frequency response curve after Hamming window, debugging, you can run)
    2021-04-19 16:18:51下载
    积分：1
  • DIPmatlab
    [matlab] DIP nearest neighbor interpolation and bilinear interploation ([matlab] DIP nearest neighbor interpolation and bilinear interploation)
    2008-12-24 16:49:25下载
    积分：1
  • Time-frequency-distribution
    时频分布在故障诊断中的应用，机械故障信号等(Time-frequency distribution in the fault diagnosis, mechanical fault signals)
    2011-05-10 09:33:22下载
    积分：1
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    交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)
    2014-05-26 19:12:10下载
    积分：1
  • TYHZ
    用周期图法以及BT法对一组太阳黑子数据惊醒处理，得出其周期的程序(the programme for solving the period of the sunspot series)
    2012-06-06 08:09:22下载
    积分：1
  • dianti
    用matlab制作的模拟动画程序，内容为电梯的升降演示。(Animation produced using matlab simulation program, the content of the elevator lift demonstration.)
    2013-09-15 07:25:08下载
    积分：1
  • ANC simulation
    this is a good simulation of fxlms ANC which contain both offline and onilne simulation
    2013-04-14 01:22:46下载
    积分：1
  • BloqComFila
    MatLab code engset for calculing of the code example
    2013-04-26 21:25:48下载
    积分：1
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