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这是一本非常适合初学者学习matlab的书，讲述很详细，易懂，希望对大家有帮助。(This is a great book for beginners to learn matlab, tells a very detailed, easy to understand, we want to help.)

Simpson rule Matlab code

灰色T型关联度分析代码，已经运用于各个行业(Gray the T correlation degree analysis code has been used in various industries)

MATLAB克里金(Kriging)插值法又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。( MATLAB kriging (Kriging) interpolation method, also known as spatial autocorrelation covariance optimal interpolation method, which is based on the South African mining engineer D. G. Krige named for an optimal interpolation. Kriging widely used in groundwater modeling, soil mapping, is geostatistical gridding method useful.)

永磁同步电机模型参考自适应估算电机转速。值得参考。无错。(Model reference adaptive estimation of permanent magnet synchronous motor. Worth reference. No mistake.)

国际通用标准循环工况，可用于matlab车速仿真数据(International common standard cycle conditions, can be used for matlab vehicle speed simulation data)

some kinds of frequency interpolations.which are used to processing frequency and IFFT to image spce to new image

(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。 (4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。 (1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance． 2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line. 3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)

create feature untuk feature vertical

单频估计kay算法的仿真源程序，系统为QPSK调制，信道为高斯白噪声信道。(Single frequency estimate kay algorithm simulation source code, the system is QPSK modulation, the channel is Gaussian white noise channel.)