adaptive TVMM demo

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)

bp网的MATLAB工程，调试通过打开可用(bp net work operation on MATLAB7.0)

自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。(Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband noise signal is Gaussian white noise, the delay D = 50 convergence factor, and when the filtering effect.)

说明：  该程序用于大地反算，参考于武汉大学测绘学院出版的大地测量学基础（第二版）(The inverse procedure for the earth, the reference in the School of Surveying and Mapping, Wuhan University, published the basis of Geodesy (second edition))

模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。(Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.)

六自由度机器人源程序 6DOF机器人的matlab仿真(Six degree of freedom robot source Matlab simulation of 6DOF robot)

5 bus power flow for power systems and analysis

MATLAB的梯度法，内点法，外点法，罚函数，惩罚函数，线性梯度法，源程序，按照提示输入，可直接运行(MATLAB' s gradient method, interior point method, outside the point of law, penalty function, penalty function, the linear gradient method, source code, follow the prompts to input, can be directly run)

说明：  matab实验讲义，呵呵 这是我收藏的学习资料(matab experiment handouts)

说明：  上传RBF源程序，希望能对大家学习有所帮助，并请提出宝贵的意见和建议！(upload source, in hopes of learning we can help, and requested the valuable advice and suggestions!)