自适应控制算法matlab例程

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

说明：  采用kalman滤波器进行目标跟踪的源代码(object tracking using kalman filter)

信号相加,卷积的应用，从别的地方学习的，貌似有点问题，大家可以参考一下(From other place)

该程序用于使用时间序列重构相空间,利用嵌入维数和时间延迟，结合时间序列数据可以生成重构后的相空间向量，方便混沌原理初学者理解相空间的意义，内含一个列向量数据集，在MATLAB中加载至Workspace再运行m文件即可。

线性调频LFM脉冲压缩雷达仿真,线性调频脉冲压缩的Matlab程序,Word说明,运行结果-LFM LFM pulse compression radar simulation, LFM pulse compression of the Matlab program, Word shows, the results

matlab下面一个很经典的例子，适合刚入门的人 学习(dddddddddddddddd)

谱估计中的ESPRIT算法仿真，对初学者了解ESPRIT算法有很大的帮助(Spectral estimation of the ESPRIT algorithm simulation, for beginners to understand ESPRIT algorithm has a great help)

自己实现的瑞利分布，有很实用的价值，非常适合新手学习 (Rayleigh distribution of their implementation, there are very practical value, ideal for novice learning)

Tracking by using Kalman filter

说明：  粒子群算法测试测试函数 分别用5个函数进行测试(Particle Swarm Optimization Testing Function)