matlab6.0

标量积算法反演雷达海浪图形的反演算法，可得到各种海流参数(Scalar wave radar graph algorithm inversion inversion algorithm parameters obtained various currents)

宽带数字接收机,详细介绍了接收机的基本理论和实际应用。(wideband digital receiver)

Detection of qpsk signals

基于matlab的SOM神经网络源码,讲解matlab下如何实现SOM神经网络，给出实例(SOM—ANN source code based on matlab)

matlab的学习教程与应用，及对比方案精选(matlab tutorial and application of learning, and selected comparison program)

BPSK modulation with Hard decision type of coding.

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)

利用matlab软件实现通信中的低通滤波器，将信号进行低通滤波，滤出我们所需要的信号(Using matlab software to achieve low-pass filter in the communication, the signal low-pass filter, filter out the signals we need)

matlab写的模糊整定PID参数的子函数 matlab写的模糊整定PID参数的子函数 (Matlab write fuzzy PID tuning parameters Functions written in Matlab fuzzy tuning PID Parameters of Functions written in Matlab fuzzy PID tuning parameters Functions written in Matlab fuzzy setting P ID parameter Functions)

Ridge_interest point_detector in scale-space