DM5

IEEE802.11n系统级仿真完整程序，引入了MIMO OFDM等技术，实现更高的吞吐率。(IEEE802.11n complete system-level simulation program, the introduction of MIMO OFDM technology to achieve higher throughput.)

用MATLAB程序实现对同一问题的欧拉法计算、后退欧拉法计算、龙格库塔法则计算和提醒法则的计算，很有代表性与通用性(MATLAB program to achieve the same with the Euler method to calculate the problem, Euler backward method, Runge-Kutta rule calculations and advise law computation, very representative and universal)

混沌信号优化，希望对混沌研究者有些帮助。。。(Chaotic signal optimization, the researchers hope to be helpful chaos)

matlab实现模糊C均值算法对样本进行分类。附件中国有样本库。( matlab in fuzzy c means in sorting)

matlab stuff very fast

递推极大似然估计法参数辨识的MATLAB源码(Recursive maximum likelihood estimation MATLAB source parameter identification)

质心定位算法源码，分三种情况考虑，只有锚节点，被定位到的未知节点也作为锚节点，有邻居锚节点的未知节点只利用邻居锚节点进行定位，没有邻居锚节点的未知节点才利用已经定位了的邻居未知节点进行定位。 (Centroid localization algorithm source，Three cases to consider.Only the anchor nodes,unknown nodes to be positioned as anchor nodes,neighbor anchor node of the unknown node using only neighbor anchor node positioning, not unknown neighbor anchor node node neighbor has positioned the unknown node positioning.)

卷积码的维特比译码算法实现，并分析其误码率性能(Convolutional codes, Viterbi decoding algorithm to achieve, and analyze the BER performance)

程序分形分析工具箱 - FracLab2.04MATLAB包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算，可视化建模仿真，文字处理及实时控制等功能。学科工具包是专业性比较强的工具包，控制工具包，信号处理工具包，通信工具包等都属于此类。(Program fractal analysis toolbox- FracLab2.04MATLAB including internal functions with hundreds of primary packages and several 30 kits. Kits can be divided into functional disciplines toolkit and toolkit. Function tool kit used to expand the MATLAB symbolic computation, visualization, modeling and simulation, word processing, and real-time control functions. Discipline tool kit is relatively strong professional toolkit, Control Toolkit, signal processing toolkit, communications toolkit belong to this category.)

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.)