Cyclic Spectral Correlation

说明：  《Matlab控制系统计算机辅助设计》随书程序(&quot Matlab control system for computer-aided design,&quot with the book program)

说明：  灰色模型gm（1，1)的matlab代码(Grey Model gm (1,1) of the matlab code)

This code show and explain (in portuguese) a simple Block Code to BSC channel.

改程序基于改进节点法（Modified Nodal Approach）与全矩阵技术在Matlab中实现线性电阻电路的符号分析。可以在GUI中描述待分析的电路结构、启动分析并直观的观察分析结果。在实现分析功能的同时，提供完整的编辑、输入保护以及数据保存功能。详细说明请见压缩包内文档。(Changed procedures to improve the node-based method (Modified Nodal Approach) with the full-matrix technology in Matlab to achieve linear resistance analysis of circuit symbols. GUI can be described in the circuit structure to be analyzed, start analysis and visual observation of the results of the analysis. Analysis function in the realization at the same time, provide a complete editing, input protection and data retention functionality.)

这是一本关于matlab的实用教程，里面对matlab的功能进行了详细的介绍，很有学习价值。(This is a practical tutorial on matlab, which functions on matlab carried out a detailed description of the value of great learning.)

应用Visual C++ 产生高斯噪声序列，可以加到任何信号上，以便进行其他处理。(Application of Visual C++ generated Gaussian noise sequence, can be added to any signal for other treatments.)

MATLAB程序设计之图形huffman编码源程序MATLAB programming source code for pattern huffman coding(MATLAB programming of graphics huffman coding source MATLAB programming source code for pattern huffman coding)

it is ocksvm with matlab

刘金琨《滑膜变结构控制matlab仿真》第二章( synovial VSC matlab simulation Chapter II)

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)