MDP3

说明：  该程序介绍Matlab时频分析技术及其应用，利用该程序可以分析周期信息(This program is used to get the frequence. )

现代信号处理中，几种经典算法的编程实现。(Modern signal processing, several classical programming algorithm.)

说明：  基于MatlabR软件开发的一个相对导航算法，调试成功，可以直接再如使用(matlab pro)

排序学习中经常用到的评价指标为MAP，本程序为该指标的计算函数。(calculate the mean average precision for learning to rank)

SPNEGO upcall management for CIFS.

matlab code and document for least square problem

编辑经典的和修正的格拉姆施密图QR正交化，并用算例比较其区别(Edited and revised the classic Gram Schmidt QR orthogonal graph and compare the difference between a numerical example)

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

无模型自适应控制算例代码，供初学者使用。(code for model free adaptive control, for beginner reference)

模型预测控制非常基础的程序，里面的注释也很全面(model predictive control)