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BP神经网络解决异或问题,用VC可以打开浏览!也可与MATLAB接口使用.(BP neural network solutions differences or problems, with VC can open here! Also with the use of MATLAB interface.)

Feedback response algebraic controller

聚类工具箱，此工具箱在处理聚类问题时，作用很大！(FCM toolbox)

Pathsim相关资料，基于watterson信道模型。希望有所帮助。(Pathsim relevant information, based watterson channel model. Hope that helps.)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

根据海伦方程用矩量法编程MATLAB计算半波阵子天线的电流分布、归一化方向图、增益和阻抗(Under Helen equation using the method of moments programming MATLAB to calculate the half-wave time around the antenna current distribution, the normalized pattern, gain and impedance)

北邮研究生信息论，许文俊老师，编程作业。离散信道容量的迭代实现。(Beijing University of Posts and Telecommunications graduate information theory, Xu Wenjun teacher, programming assignments. Iterative discrete channel capacity to achieve.)

说明：  自编灰色预测MATLAB程序，可供初学者使用(The grey prediction matlab program is compiled by ourselves, which can be used by beginners)

一种拉普拉斯边缘算法的提取的源码，大家可以看看哈(A Laplacian edge of the source extraction algorithm, we will look at Kazakhstan)

时间序列的预测及中间状态，包括误差检测以及其和中间状态的关系(representation of status)