msk5

出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。 (Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular) )

程序是毕业论文的研究实验结果，应用于直线二级倒立摆的稳定控制，得到了理想的控制效果。(procedures dissertation research results, for two straight inverted pendulum stability control, be the ideal control effect.)

convolution program for entc engineers

《MATLAB 7.0编程基础基础》源程序 第一章

包含蓄电池的微电网的并网模型下的经济调度优化(Optimal Dispatching of Microgrid)

一些小程序，仅供参考，不足之处，请见谅。谢谢你的支持。(Some small programs, reference, deficiencies, please forgive me. Thank you for your support.)

利用奈曼皮尔逊方法设计的最佳信号接收机得matlab仿的

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)

通过Matlab，实现NEGAⅡ，对于多目标优化，并对研究问题SCH，进行了相关实验，效果不错，可以通过增加种群数、个体长度、以及迭代次数，来提高解的质量(The Matlab, the NEGA II, for the multi-objective optimization, and research questions SCH, the relevant experiments, good results, by increasing the number of population, individual length, and number of iterations to improve the quality of the solution)

this is the selection diversity technique, used for avoiding the effects of fading.