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万勇革著的MATLAB与信号处理，非常好的一本书，许多程序十分结合工程实践(WAN Yong-ge with the MATLAB and signal processing, a very good book, many programs are combined engineering practice)

最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

说明：  无线传感网络节点定位算法的研究，使用chan算法(Wireless sensor node localization algorithm, the use of chan algorithm)

《滑模变结构控制MATLAB仿真》目前最新版的配套光盘中的matlab仿真程序，和适合做滑膜变结构的仿真，可以在基础上扩展，很好的低起点资料(" MATLAB simulation of sliding mode variable structure control," the latest edition of the companion CD matlab simulation program, and suitable for synovial variable structure simulation, you can expand on the foundation, a good starting point for information on low)

用matlab实现 传递函数 如果 转换到 Z 变换传递函数(show the methods for solving transfer function )

张量工具箱，提供张量分解等功能，附上安装说明文件，经测试很好用。(tensor decomposition and install readme)

Newton interpolation method to calculate the fitting of discrete points

This file is written as if you are going to evaluate the error between a pair of images that are presently coded as RGB data. The initial calculation converts the RGB data to CIE XYZ data. The calculations are similar if your images are coded as CMYK, but you will need to convert from CMYK to XYZ instead of converting from RGB to XYZ.

慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)