NumericalMethodsinEngineeringwithMATLAB

its about generation of ofdm and reception. and also it calculates the ber.

In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.

可以把一段脑电信号分解成多个频段，然后各频段重构就可以提取脑电信号的各频段成份了(Period of EEG can be broken down into multiple bands, each band then refactoring can extract EEG bands ingredients)

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)

基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 JihOoo仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 ICzcjie解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting JihOoo contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising ICzcjie decoding algorithm)

风向驾驶模型,让驾驶员在驾驶过程中遇到的风速进行仿真。(Wind driving model, so that the driver in driving wind encountered during simulation.)

基于IMM的CA模型 matlab程序(Based on the IMM the CA model matlab program)

实现了灰色理论在关联度识别方法在matlab中的应用(Grey achieved recognition in the correlation of in matlab)

通过一些用MATLAB处理图像的例子来让初学者入门。使得初学者对图像处理有个好的了解(Through a number of examples of image processing using MATLAB to let beginners started. Allows beginners have a good understanding of image processing)

说明：  matlab求解kepler参数数学模型建立→MATLAB数值分析方法求解的(use matlab kepler)