Image_reconstruction_model_using_block_compressed_

matlab prectise material

Unit commitment and economic load dispatch by dynamic programming

根据系统的动力学方程m文件和simulink求出系统的平衡点(Based on the system dynamics equation of m documents and simulink the equilibrium point of system)

emd分解，通过emd分解重构信号实现降噪(By the emd decomposition reconstruction signal noise reduction)

对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。(Of chaotic time series phase space reconstruction methods of C-C less than three points, a method based on an improved determination of former times Cc excellent window of time delay and embedding the new algorithm. Calculation of correlation integral in the process of introducing a trade-off accuracy and speed of the adjustable parameters, a reasonable choice of test parameters can be estimated without serious loss of accuracy under the premise of the calculation speed greatly accelerated. In the theoretical analysis, based on the algorithm used by the chaotic sequence of three phase-space reconstruction, simulation results show that the algorithm of the optimal choice of a more accurate time delay, the optimal embedding window for the selection of more reliable.)

该程序可以将LDPC码校验矩阵mat文件转换成文本文件(The program can check matrix of LDPC codes mat file into a text file)

基于PCA算法的人脸识别，使用ORL人脸数据库做实验，识别率为88 (PCA algorithm-based face recognition using ORL face database experiment, the recognition rate of 88 )

基于matlab的矩阵论算法，有利于矩阵论初学者使用(Algorithm based on matlab of matrix theory, matrix theory in favor of beginners)

Programming the Finite Element Method 4th edition, Matlab-base approach

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.