Regularized-Filter

产生不同频率、不同幅度的两种正弦波信号 对两个信号进行叠加并做频谱分析 还原原来两个信号（LPF)(Produce different frequency, the two sine wave signals of different magnitudes of the two signals are superimposed and do spectral analysis to restore the original two signals (LPF))

基于MATLAB匹配雷达图像与光学图像（文献），内容不多，但是比较容易理解(MATLAB-based matching radar images and optical images (documents), which is not much easier to understand)

DBPSK transreceiver design model using simulink

计算时间序列的Hurst系数有许多方法，但是其中最准确的就是运用小波法来计计算，本程序源码用Matlab实现了用小波来计算Hurst系数。 (There are many ways of calculating the Hurst coefficient of time series, but one of the most accurate calculation using wavelet method to count the program source code using Matlab achieve wavelet Hurst coefficient.)

Power Iteration Clustering projection Input: W - row-normalized affinity matrix v0 - starting vector conv - convergence threshold maxit - maximum number of iterations Output: vt - 1-d PIC embedding i - iterations ran t - runtime

基于HiJ理论的滑膜鲁棒控制，对机器手动力学控制进行了建模，设计了滑膜控制器，并进行了仿真分析(HiJ based sliding mode cotrol)

this code is used to solve bueden method

Matlab program for railway abnormal detection and imaging,including GUI, open dlg, processing dlg and source code.

The goal of the HumanEva dataset is to develop new techniques, technology, and algorithms for the automatic articulated pose estimation and tracking of humans. Brown University is involved in an ongoing effort to develop this dataset of synchronized video and motion capture data.

二次规划师非线性优化中的一种特殊情形，它的目标函数是二次实函数，约束函数都是线性函数。由于二次规划比较简单，便于求解（仅次于线性规划），并且一些非线性优化问题可以转化为求解一些列的二次规划问题，因此二次规划的求解方法较早引起人们的重视，称为求解非线性优化的一个重要途径。二次规划的算法较多，本文仅介绍求解等式约束凸二尺规划的拉格朗日方法以及求解一般约束凸二次规划的有效集方法。(Quadratic nonlinear optimization planners in a special case, its real objective function is a quadratic function, constraint functions are linear functions. Because of quadratic programming is relatively simple and easy to solve (after linear programming), and some non-linear optimization problem can be transformed into solving quadratic programming problems some columns, solving quadratic programming method therefore attracted attention earlier, saying an important way for solving nonlinear optimization. More quadratic programming algorithm, this paper describes only two feet Solving the Equality Constrained Convex Programming effective Lagrangian method and set method for solving general constrained convex quadratic programming.)