SensorPArrayPSignalPProcessing

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

adhoc simulation using matlab

基于子空间的盲多用户检测技术，里面包含PASTd算法和秩算法的介绍与计算。下面我会把自己的翻译也上传上来。(Subspace-based blind multi-user detection technology, which containing PASTd algorithm and rank algorithm describes calculation. I will own translation post it here.)

说明：  单纯形法求解线性规划问题 ,在需要添加人工变量时将采用两阶段法求解上述问题(Simplex method for solving linear programming problems)

simulation photovoltaiv panel with mppt boost converter

PCA distance and classification example

变尺度法的源程序，用于优化中的非线性规划，效还可以的。(variable scale method of the source for the optimization of nonlinear programming, the effect can be.)

该段程序代码是实现一阶惯性环节大林算法的matlab程序(The paragraph code is to achieve a first-order inertia link Dalin algorithm matlab program)

支持响亮机程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集(yuejian)

说明：  利用BP神经网络作为分类器，对公司财务进行分类，构造分类器，结果表明能够很好的将数据分类，有兴趣可以看看。(BP neural network is used as a classifier to classify corporate finance and construct a classifier. The results show that the data can be well classified and you can have a look if you are interested.)