machine_learning_toolbox

This is the description file for the matlab .m file with the same name wlstotal in spanish language.

结合状态空间和最小二乘估计算法对动态系统未知参数的辨识。(Combined state and least squares parameter estimation algorithms for dynamic systems)

地位算法，有很重要的作用，还用到kpca和pca的部分知识，很有用，希望您采纳(Status algorithm, a very important role, still use kpca and pca some knowledge, is very useful, and hope you adopted )

C++ AND MATLAB CODE FOR STEGANOGRAPHY, developed by a third party, Please check it by yourself while you use it

MATLAB做的不错的人脸识别的程序，希望大家能能受用，-color ，经测试可直接使用。 (Face recognition program MATLAB to do good, and I hope that we can be able to benefit from-color has been tested and can be used directly.)

matlab模拟人走路，可拖动观察不同方位、不同步长等状态(matlab simulation of the human foot, drag observed in different directions, and long unsynchronized state)

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

MATLAB GUI设计学习手记(第2版)(MATLAB GUI Design Learning Notes (2nd Edition))

冈萨雷斯的数字图像处理MATLAB版本，很适合初学图像处理的看看，容易上手学习MATLAB编程的图像处理(Digital image processing MATLAB version Gonzalez, very suitable for beginners image processing look, easy to use image processing to learn MATLAB programming)

Toeplitz 修正处理的music算法。可以提高低信噪比和低采样率下的分辨率。(Toeplitz correction algorithm processing of music. Can improve the signal to noise ratio and low resolution low sampling rates.)