LSSVMlabv1_8_R2009b_R2011a

关于电力系统状态估计的MATLAB的源程序，敬请参考，不负侵权责任(Power system state estimation on the MATLAB source, please refer to, trust Tort Liability)

自适应算法算法SER与LMS，有两种算法的性能结果比较。(Algorithm SER and the LMS adaptive algorithm, the performance results of the two algorithms.)

使用有限元方法求解漫射方程,其中所需要的三维有限元网格来自netgen软件。压缩包中包含了网格数据文件和源代码。代码运行之前首先要注意修改源代码中的网格文件的存放路径。(solve the diffusion equation with finite method,the mesh which is used in it is generated by netgen。A matlab source code and a mesh file is include in it. The mesh file path should be set before running the sourcecode.)

说明：  基于遗传算法的静态摩擦参数辨识，matlab6.5编写 (Genetic Algorithm Based on Parameter Identification of static friction, matlab6.5 prepared)

超宽带matlab仿真，用simulink搭建(UWB Matlab simulation, using Simulink structures)

Nuclear morphology and structure as visualized from histopathology microscopy images can yield important diagnostic clues in some benign and malignant tissue lesions. Precise quantitative information about nuclear structure and morphology, however, is currently not available for many diagnostic challenges.

近似强化学习和动态规划工具箱。包含各种具体实例和算法程序。非常有用。(A Matlab Toolbox for Approximate RL and DP This toolbox contains Matlab implementations of a number of approximate reinforcement learning (RL) and dynamic programming (DP) algorithms. )

说明：  matlab实用程序百例，一些还不错的例子，可以看看，txt文档里(100 cases of matlab utility, a number of good examples, you can see, txt documentation)

基于图形化编程语言LabVIEW8.6的虚拟频谱分析仪，主要由信号发生器、数字滤波、参数测量、频谱分析和谐波分析构成，可实现对采样信号的显示、分析等功能.(This program designs the virtual spectrum analyzer based on graphical programming language LabVIEW8.6, the spectrum analyzer is mainly by the signal generator, spectrum analysis and digital filtering, parameter measurement, harmonic analysis, which can realize the sampling signal display, analysis, and other functions. Reliable operation, good performance.)

一种改进的自适应滤波算法,它通过选择自适应滤波器的系数更新时间间隔,在系统的收敛速度与计算量之间取得折衷 算法在每次系数更新时,利用了系统过去时刻数据(An improved adaptive filtering algorithm, it by selecting the adaptive filter coefficient update interval, the convergence rate and the trade-off between computation algorithm to update each coefficient, the use of the system data over the past time)