Autoregressive-moving-average-model

有限元稀疏矩阵的保存和提取，基于ANSYS提取稀疏矩阵后在matlab中的重新整理。(Preservation and extraction of finite element sparse matrix)

C-C法求相空间重构的延迟时间,内有详细说明方法，(CC method for phase space reconstruction delay time, with detailed description of methods,)

采用一种松弛牛顿法，对IEEE33节点系统进行潮流计算，并得出正确结果。(Newton s method uses a relaxation programming for IEEE33 node system and derive the correct results)

一个matlabGUI，可以对mat文件中的多个信号进行线性分析（最多三个）(A matlabGUI, can document a number of mat-signal linear analysis (a maximum of three))

说明：  里面的内容是关于matlab的基本知识及其应用的归纳总结(Inside is about matlab basic knowledge and its application summary)

kp模型matlab仿真，迟滞非线性的KP算子，描述压电、磁控形状记忆合金等。(KP model matlab simulation, the hysteresis nonlinearity of KP operator, describe the piezoelectric, magnetic control shape memory alloy, etc.)

： 针对粒子群优化算法易陷入局部极值的缺点， 提 出一种改进粒子群算法， 该算法借鉴贪婪算法的思想初始化种群， 利用两 个种群同时寻优， 并将遗传算法中交叉和变异操作引入其 中， 实现种群间的信息共享。(I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n i mpr o v e d p a r t i c l e s wa r m o pt i mi z a t i o n a l g o r it h m i s p r o po s e d． Th e a l g o r it hm dr a ws o n t h e t hi n ki ng o f t he g r e e d y a l g o r it hm t o i n i t i a l i z e t he pa r t i c l e s wa l- n 1 ． Two s wa r ms a r e u s e d t o o pt i mi z e s y nc h r o no u s l y， a nd c r o s s o v e r a n d mu t a t i o n o p er a t o r s i n g e n e t i c a lg o r i t h m a r e i n t r o d uc e d i n t o t h e ne w a l g o r it h m t o r e a l i z e t h e s ha r i ng o f i n f o r m a t i o n a mo ng s wa r l T i S ．)

编写了MATLAB程序生产和扩频码进行仿真，仿真程序从发送方完成通道的接收端，得出在不同的扩频码，在不同的信噪比即误码率的图形比较直接序列扩频通信系统原理，改善系统性能的度(Written MATLAB program to produce and direct sequence spread spectrum communication system principle of spreading codes for simulation, emulation program to complete the channel from the sender to the receiver end, draw graphics comparison at different spreading code, the bit error rate under different SNR i.e., the degree of improvement of the system performance)

说明：  PSO的最基础版本，可用于粒子群算法，和群体智能的学习(The most basic version of PSO can be used for particle swarm optimization and swarm intelligence learning)

Epitomic analysis of appearance and shape