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Kalmat is a Matlab Non_linear Kalman Filtering Toolbox. With this toolbox it is made possible to use object oriented approach for implimenting the toolbox. compared to other available similar toolboxes this is much easier and also very user friendly.

《MATLAB电机仿真精华50例》源代码(The MATLAB simulation essence motor 50 cases "the source code .I hope this is useful for you。)

用基于内点法的截断牛顿法来求出lasso问题(The truncated Newton method based on interior point method is used to solve the lasso problem)

该程序分别用四种经典算法对自定义3次非线性函数寻优，并给出寻优路径(The program of four classic algorithms were used three times on custom non-linear function optimization, and gives the path optimization)

经典的matlab算法程序，适合初学者，并有PPS教程，(Classic algorithm matlab procedures, suitable for beginners and tutorials have PPS,)

用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度(Using historical data to forecast wind power to the value to the future time power, by Matlab software programming and Excel data processing, neural network simulation and prediction of wind power law method, gray prediction method, time sequence prediction method based on the historical data are presented for a period of time after the start prediction, prediction the data are error analysis, by comparing with the standard to determine the degree of reliability prediction method)

FLch4GAeg1.m――梯度校正LS辨识程序(FLch4GAeg1.m-- gradient correction LS identification procedures)

Sparco is a suite of problems for testing and benchmarking algorithms for sparse signal reconstruction. It is also an environment for creating new test problems, and a suite of standard linear operators is provided from which new problems can be assembled. Sparco is implemented entirely in Matlab and is self contained. (A few optional test problems are based on the CurveLab toolbox, which can be installed separately.)

这是一个采用MMSE方法实现的自适应空时多用户侦测程序，还有卷积子程序，侦测子程序，注释详细(This is a method used to achieve adaptive MMSE space-time multiuser detection process, as well as convolution subroutines, detection subroutine, comments in detail)

Gaussian Elimination with partial pivoting (LU factorization)