itonpose

雷达机动目标跟踪源程序，对学习卡尔曼滤波有指导性意义。(The source program of maneuvering target tracking, radar kalman filter has a guiding significance to the study.)

LQR非线性系统模型 所属分类：matlab例程(LQR nonlinear system)

用Matlab来模拟光通信中的光纤交叉相位调制。此类仿真比较少，值得参考。(Using Matlab to simulate the optical fiber communication cross-phase modulation. Reference worthwile.)

常用Matlab函数说明文档。收录常用全部函数。(Matlab function commonly used documentation. Indexed all commonly used functions.)

这是一个希尔伯特变换的程序包，里面共有5个程序，可用于普通的希尔伯特变换(This is a Hilbert transform of the package, a total of five procedures which can be used in ordinary Hilbert Transform)

说明：  2.5D弹性波波场模拟matlab程序 弹性波波场模拟matlab程序，是一个可以模拟波场传播切片的动态模拟过程。(2.5D simulation of elastic wave field simulation of elastic wave field program matlab matlab program can simulate the wave field is spread a slice of the dynamic simulation process.)

说明：  小波神经网络MATLAB程序(别处搜集的，希望对大家有用。在此非常感谢原创)(MATLAB neural network program (collected elsewhere, we hope to be useful. In this very grateful to the original))

Signal And Systems Lab_6

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference