BilinearQuadElementStiffness

matlab中的arima模型，可用于时间序列数据的分析于预测(arima model in matlab)

说明：  这个是一个介绍OFDM原理的资料，对于初学者来说很好用(This is an introduction to the principle of OFDM data is useful for beginners)

实现了向量的聚类算法，输入三个参数：向量集合、划分数目和设定的阈值，就可得到聚类结果，以欧式距离作为距离判别准则。(Realize the vector of the clustering algorithm, the input three parameters: vector set and the division of number and set threshold, can get clustering results to the Euclidean distance as a criterion for distance. )

电力系统中无功补偿 SVC-SVG模型 可以观察无功补偿器对电能质量的维持的有利作用(Power System Reactive Power Compensation SVC-SVG model, you can observe the reactive power compensation of power quality maintenance of beneficial effects)

掺铒波导放大器增益计算matlab源程序(Erbium doped waveguide amplifier gain calculation matlab source)

切比雪夫滤波器的matlab实现代码，数字信号处理(Chebyshev filter matlab to achieve the code, digital signal processing)

一个不错的无传感器MRAS程序，分享一下(MRAS machine sensorless control)

递归极大似然数估计，在实际通信系统仿真过程中非常有用(Recursion number of maximum likelihood estimate, in actual communication system simulation process is very useful )

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)

用lms迭代算法求解AR参数模型的权向量及学习曲线的训练(using lms to find out the learning plot)