FSA

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)

线性调频信号（FLM）脉冲压缩的参考函数的三种的实现方式(Implementation of the chirp signal (FLM) three of the reference pulse compression function)

Valores inciiales de igenimagenes

本源代码给出了一个完整的蜂窝移动通信系统的仿真程序实例,开发环境是matlab,希望可以从事此方面工作的人员提供一个借鉴.(Source code is given a complete cellular mobile communication system simulation program examples, the development environment is matlab, hope that we can engage in this work provide a reference.)

用Matlab/Simulink的高压输电线路仿真模型，得到仿真数据，然后编程实现双端阻抗法测距！仿真结果表明，测距仿真是准侧的(Using Matlab/Simulink simulation model of high-voltage transmission lines to obtain simulation data, and then double-ended impedance programming ranging! Simulation results show that the simulation is quasi-ranging side)

演示代码为“独立分量分析:教程介绍”版权:2005年,企业石、心理学系、谢菲尔德大学,谢菲尔德,英格兰。(Demonstration code for "Independent component analysis: A Tutorial Introduction")

提供了CDMA通信的matlab仿真程序(Provide a CDMA communication matlab simulation program)

说明：  模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的(human pattern recognition to identify even glasses positioning, using the Matlab SVM Development)

这个程序用来模拟windows计算器,为薜定宇老师<<科学运算语言MATLAB5.3程序设计与应用>>的习题而做(It is suitable for beginners to master matlab deep into the second developed a good teaching examples of great reference value)

Singular value decomposition takes a rectangular matrix of gene expression data (defined as A, where A is a n x p matrix) in which the n rows represents the genes, and the p columns represents the experimental conditions.