mathematical-modeling-of-satellite-

分别采用维纳滤波和l-d算法设计一个6阶前向线性预测器，给出设计过程，matlab程序。 要求：1、得到预测器的权向量和预测误差功率 2、画出预测阶数和预测误差功率的曲线 3、在使用l-d算法时，假设 ， ，…… 未知 (Wiener filter and were used to design a 6-ld algorithm prior to the linear predictor order, given the design process, matlab program. Requirements: 1, are predictors of weight vectors and the prediction error power of 2, draw the prediction order and the prediction error power, Curve 3, in the use ld algorithms, assumptions, ... ... unknown)

用viterbi算法和baum-welch训练找到和更新best path(find best path using Viterbi algorithm and Baum-Welch training)

多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出( Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent. )

说明：  一段用于光谱分析波段选择的连续投影算法matlab代码(A section for spectral analysis band selection continuous projection algorithm matlab code)

matlab命令大全，最适合初学者，也可以供编程者查询。(matlab command Guinness, the most suitable for beginners, you can query for programmers.)

说明：  基于粒子群的算法和混沌搜索的协同优化算法(Collaborative optimization algorithm based on particle swarm algorithm and chaotic search)

应用bp神经网络进行分类的实例，很简单适合初学者。(Application of bp neural network to classify instances, is very simple for beginners.)

说明：  使用最小二乘法对永磁同步电机进行参数辨识，在simulink中搭建了永磁同步电机模型，然后使用s函数写了最小二乘法。(Use the least square method to identify the parameters of the permanent magnet synchronous motor, build a permanent magnet synchronous motor model in simulink, and then use the s function to write the least square method.)

说明：  有关matlab一简单的试验程序，可以当初步学习时参考使用(On the matlab a simple test procedures, can be a reference to the use of a preliminary study)

来自长江水质评价与预测全国得奖论文的源代码，仅供大家参考学习(From the Yangtze River water quality assessment and prediction of the award-winning paper source code, for your reference learning)