MATLAB_scope-tecs

Peramalan Beban Listrik Jawa Bali

MATLAB有限元法应用与实例，参考源程序(MATLAB finite element method and examples, refer to the source)

弹性波在饱和多孔介质中传播的BISQ模型MATLAB源码。(Elastic wave propagation in saturated porous media BISQ model MATLAB source. )

用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。(Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM. )

基于matlab Dijkstra算法的实现(matlab Dijkstra)

eps的东西，做得挺好的 eps的东西，做得挺好的(eps thing, doing something very good eps, doing very good)

刘金琨老师 《先进PID与Matlab仿真》（第二版） 常用PID仿真程序(Teacher Liu Jinkun Advanced PID with the Matlab simulation [second edition] Commonly used PID simulation program)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

一个用于求解无对角线性方程组的matlab程序。是通过LU矩阵分解进行求解的。(a matlab program for getting the roots of big linear equations by LU decompisition. )

使用精确搜索方法解决一般的非线性无约束优化问题(Refine your search using the method to solve the general nonlinear unconstrained optimization problems)