forward33

在matlab上对复倒谱回波检测系统的仿真，可由此对管道质量经行检测 (In matlab Complex Cepstrum of echo detection system simulation, which can the quality of the pipeline by the line detection)

project on electric bill details that store all the detail of bill.

MATLAB编写的SAR成像程序，数据采用的是仿真数据(matlab prepared SAR imaging program, using the simulation data.)

说明：  主要实现数表建立，查找功能，实现对数据的管理(Mainly the number of tables to achieve the establishment of search functions, to achieve the data management)

说明：  实现对小孔的高斯滤波，边沿提取和半径测量(Small holes to achieve the Gaussian filtering, edge extraction and radius measurement)

实现信号的时频分析，能显示信号时域图、频域图、时频分析图(The realization of the signal time frequency analysis, can display the signal of frequency domain, time frequency analysis, graph drawing)

This is amatlab code fo compression with psychoacoustique

三相逆变器模型 pid control....................(inverter_model pid control ...................)

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)

R. Duda, P. Hart, D. Stork, Pattern Classification, 2nd Ed., John Wiley and Sons, 2001.