untitled11

可用来求解多仓库的车辆路径问题，经测试可直接运行(This program can be used to solve the vehicle routing problem of multiple warehouses, and can be directly run after testing)

bpsk信号频谱感知 能量检测算法 自编程序绝对有效(bpsk CR spectrum sensing)

说明：  matlab 时域频域分析常用 工具箱 源代码 以及安装步骤(matlab time domain frequency domain analysis of common source code and installation steps Toolbox)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

matlab实现的一个扩展卡尔曼滤波程序，可以用于目标跟踪领域。(matlab implementation of a Kalman filtering process can be used for target tracking.)

MVAcltbern illustrates the (univariate) Central Limit Theorem (CLT). n*1000 sets of n-dimensional Bernoulli samples are generated and used to approximate the distribution of t = sqrt(n)*(mean(x)-mu)/sigma -> N(0,1). The estimated density (blue) of t is shown together with the standard normal (red).

使用风电场历史数据，基于pso-bp算法进行风电功率点预测(PSO-BP algorithm for prediction of wind power)

matlab voicing procecing box

用dspbuilder实现32阶FIR滤波器(Achieved with a 32-order FIR filter dspbuilder)

泰勒级数展开算法是需要初始估计位置的递归算法，在每一次的递归中通过求解TDOA测量误差的局部最小二乘来改进估计的位置。 本程序基于MATLAB，对泰勒级数展开算法进行了仿真。初始位置的选取很重要，建议和其他简单的算法进行协同，对信号源位置进行定位。 希望对研究信号源定位的同志有所帮助。(Taylor series expansion algorithm is the need to estimate the location of the initial recursive algorithm, in every recursive TDOA measurement error by solving the partial least squares to improve the position estimate. The program is based on MATLAB, the Taylor series expansion algorithm for the simulation. The selection of the initial position is very important, the proposed algorithm and other simple coordination, to locate the signal source location. Want to locate the source of research help comrades.)