graylevelslicing_mt

a som application, for those who are new in neural network and matlab!

使用RSSI实现室内定位，在RSSI的算法下搭建定位模型。有可运行的源代码。(Using rssi indoor positioning)

说明：  噪声中非平稳信号的频谱分析，基于MATLAB，实验报告一份(Nonstationary noise frequency spectrum analysis, based on MATLAB, a lab report)

MatLab是一种数值计算和图形图像处理工具软件。本书从MatLab的基础知识入手，在详细介绍各种命令的同时，向读者介绍了MatLab在高等数学、线性代数、符号运算、图形图像处理、数据处理等方面的应用和外部接口程序设计。 (MatLab is a numerical calculation and graphic image processing software tools. MatLab the book from the start of basic knowledge in detail on the various orders, to the readers of MatLab in higher mathematics, linear algebra, symbolic operation, graphics and image processing. data processing and the application of the external interface design.)

MIMO系统中，MMSE和ZF自适应均衡准则误码率的比较，性能较好(In MIMO system, MMSE and ZF equalization error rate comparison criteria, the performance is good)

文献代码——Modified local entropy-based transition region extraction and thresholding, 2011.12, Applied Soft Computing, Elsevier(source code——Modified local entropy-based transition region extraction and thresholding, 2011.12, Applied Soft Computing, Elsevier)

何友《雷达数据处理及应用》的数据关联算法（PDAF）源程序。(He You Radar Data Processing and Applications, source code of PDAF.)

说明：  LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。(LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature.)

single phase z-source inverter with symmetric LC network

解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。(Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequency and implicit points are drawn, implied the relationship between the point and the function approximation ability, the more number of hidden layer neurons. )