OFDM_LS_CS_randn

Fast sparse matrix vector product

说明：  析了变速恒频双馈风力发电系统的工作原理。结合风力机特性和双馈发电机特性，说明了变速恒频运行方式下的最优风能捕获策略，并介绍了风力发电系统的滑模变结构控制、自适应控制、鲁棒控制和人工神经网络控制。总结了变速恒频风力发电系统的发展趋势。(Analysis of a Variable Speed Constant Frequency Wind Power Generation System works. Combination of wind turbine characteristics and the characteristics of doubly-fed generator, variable speed constant frequency shows the optimal operating mode to capture wind energy strategy, and introduced wind power generation system with variable structure control, adaptive control, robust control and artificial neural networks control. Summarizes the VSCF wind power system trends.)

OFDM频谱分析用。编写了三种保护间隔（循环前缀，零添加，伪随机码添加）的频谱显示程序，可研究不同长度保护间隔，不同种类保护间隔对OFDM频谱的影响(OFDM spectrum analysis)

说明：  另外一种旋转式永磁同步电动机空间矢量PWM控制算法，可以作为比较参考。(Another permanent magnet synchronous motor rotating space vector PWM control algorithm can be used as comparison reference.)

说明：  运用VC编写的如何在VC中调用MATLAB(use in the preparation of the VC Calling MATLAB)

opencv自带的跟踪框架程序，方便开发者开发出能够自动检测前景、目标跟踪的算法程序(Opencv own tracking framework application, convenient and developers to develop to be able to automatically detect prospects, the algorithm of target tracking application )

4阶经典Runge-Kutta格式解常微分方程,Romberg(龙贝格）法求函数的积分,三阶样条插值（一阶导数边界条件）,定步长梯形法求函数的积分,矩阵A的伴随矩阵, Lagrange插值法数值求解,Newton迭代法解非线性方程f(x)=0(Fourth-order Runge-Kutta classic format solution of ordinary differential equations, Romberg (Romberg) method for function points, third-order spline interpolation (first derivative boundary conditions), fixed-step trapezoidal method for integrating functions, matrix A adjoint matrix, Lagrange interpolation method for numerical solution, Newton iterative method for solving nonlinear equations f (x) = 0)

computes PAPR of ofdm signal for different ofdm block length

相关向量机用于风电场功率预测和各种大数据分类问题，单变量输出(Relevance vector machine for a wind farm power prediction and a variety of large data classification problem, univariate output)

计算模糊熵，可用于生理信号的变异性分析。本算法降低了个体差异，更易于检测生理状态引起的复杂度改变。(Calculating the fuzzy entropy can be used for variability analysis of physiological signals. The algorithm reduces the individual differences easier to detect changes in the physiological state of the complexity caused.)