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该实验室用MATLAB环境下实现特殊边界的一些值，通过仿真实现图形的描绘。是电磁场学习的好帮手。(The laboratory MATLAB environment to achieve some of the special boundary value of graphic descriptions by Simulation. Field study is a good helper.)

基于TMS320C32的自适应滤波程序,已调试通过.可以和低通滤波做比较 观察其优点 开发环境(adaptive filtering procedures, has been through testing. Can low-pass filter and compared the observed advantages development environment )

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

阵列信号处理方面的LCMV优化设计阵列处理信号的算法(Array signal processing to optimize the design of LCMV signal array processing algorithms)

MATLAB仿真LEACH算法，对研究WSN能量路由有很大帮助(MATLAB simulation of LEACH algorithm, the study of great help WSN energy routing)

矩量法求解半波天线 使用GARGLIN 方法 权函数和基函数都是三维格林函数 (Moment method GARGLIN half-wave antenna using weight function method and basis functions are three维格林function)

小波压缩程序，包括小波树、嵌入式零树小波编码(Wavelet compression procedure, including the wavelet tree, embedded zerotree wavelet coding)

DOA估计中的基本music算法，一个是有问题的，另一个是针对前一个的改进，有重大学习意义(DOA estimates of basic music algorithm is a problem, the other is aimed at improving the one before, meaning a major study)

KALMTOOL工具箱2.0版，包含Kalman滤波器的仿真程序和对应的C文件。(KALMTOOL Toolbox version 2.0. Kalman filter contains the simulation program and the corresponding C document.)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)