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ITERATIVE REFINEMENT ALGORITHM To approximate the solution to the linear system Ax=b when A is

这是一个产生混沌时间序列Duffing吸引子的程序(Duffing)

很好的MATLAB仿真可以包括通信所有方面所以可以看看(good matlab)

功放预失真模型，matlab实现，用神经网络算法(power amplifier predistortion )

以适合于matlab初学者的程序，简单易懂，鼓励更多地大侠共享更多地源程序(Suitable for beginners with matlab program, easy to understand and encourage more master sharing more ground source program)

因子分析法主程序，输入数据x以及主成分个数，则可以得到因子分析法的结果(Main factor analysis, the input data x and number of principal components, you can get the results of factor analysis)

Kalman filter examples, kalman_smoother

PSO算法的改进以及应用，算法需要进行适当修改，可以进行适当的调整(PSO algorithm and the application, the algorithm is needed with appropriate modifications, can be appropriately adjusted)

对MATLAB的MAT文件进行读书，用C++语言实现(read and write mat files, using C++ Language)

首先提出了基于微分几何控制理论的双馈发电机非线性多输入多输 状态反馈解藕控制方案，通过非线性坐标变换和非线性状态反馈，使双 发电机的磁链和转速两个子系统实现了动态完全解藕。其次采用基于定 磁场定向的双馈发电机矢量控制，实现定子侧有功功率和无功功率的解藕 为了消除交叉藕合电动势对发电机参数的影响，采用内模控制解藕控制 案，使系统具有良好的输出动态性能。最后在分析双馈发电机的数学模 和矢量控制的基础上，提出了一种基于模型参考自适应方法的定子、转 磁链观测、发电机转速估计和转子电阻辨识算法，应用Lyapunov原理证 了估计的收敛性，并应用于上述解藕控制方案中。在对算法进行理论推 的基础上，应用Matlab/simulink，对各个算法和系统进行了仿真，检验了 算法和控制方案的可行性。 (First proposed nonlinear multi-input multi-input state feedback the decoupled control programs through nonlinear coordinate transformation and nonlinear state feedback control theory based on differential geometry doubly-fed generator, dual generator flux and speed sub-systems to achieve the dynamic completely decoupled. Secondly, based on the fixed magnetic field oriented vector control of doubly-fed generator stator side active power and reactive power decoupling in order to eliminate the cross-coupling of the electromotive force of the generator parameters using the internal model control decoupling control case, so that the system which has good dynamic performance. Finally, in the analysis of the doubly-fed generator based on the mathematical model, and vector control, a method based on the model reference adaptive stator, turn flux observer, generator speed estimation and rotor resistance identification algorithm using the Lyapunov principle permit estimated convergence, and appl)