TeZhengTiQU

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)

说明：  现代线性控制理论实验课程的原理，以及有关matlab的例子应用(Modern linear control theory, the principles of experimental program, as well as examples of application of the matlab)

使用大量的有限元法求解偏微分方程，是国外的成品模型，是本科毕设的题目，能量熵的计算，GPS和INS组合导航程序，利用自然梯度算法。( Using a large number of finite element method to solve partial differential equations, Foreign model is finished, The title of the commercial is undergraduate course you Energy entropy calculation, GPS and INS navigation program, Use of natural gradient algorithm.)

三相电路的svpwm,仿真实现，很难找到的给做仿真的兄弟(Three-phase circuits svpwm, simulation, it is difficult to find the brothers to do simulation)

Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. Input must be a real, square, symmetric and positive semi-definite matrix.

提供memeory的说明和支持。并提供EPLD的说明CODE(Provide memeory instructions and support. And provide a description of EPLD CODE)

线性分组码的simulink环境下仿真，给出结果，可自行改变参数(Under linear block code simulink simulation environment, given the results, you can change the parameters yourself)

本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序(his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.)

Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。(Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.)

Gauss Seidel equation solving for power system analysis