ShapingFilterDesign.pdf

matlab 数字图像处理，灰度调整，gamma变换，灰度直方图，均衡直方图(Matlab digital image processing, gray scale adjustment, gamma transformation, gray histogram, balanced histogram )

针对雷达组网的实际情况,通过对影响雷达网数据融合处理的几个关键问题进行分析,给出解决这些问题 的方法,通过仿真和实际雷达数据的实验,取得了好的效果。可应用于实际雷达网的数据融合工作中。 (Some key problems of radar network data fusion are analysised. A few practical methods solving these problems are presented for radar network. Basing on simulation and actual radar data, it is shown that the proposed methods are effective. These technologies can be used for actual application. )

说明：  包含了大多数流形学习方法的代码,有PCA,ISOMAP,LLE,HLLE(Contains the majority of manifold learning code, with PCA, ISOMAP, LLE, HLLE)

说明：  利用matlab求多个数据中的最值问题（其中包括最大与最小）(Multiple data using matlab seeking the most value problem （including the largest and smallest）)

this is a samples of Chapman s matlab book 10chapter

仿真绳动力学 模型为非弹性模型,解代数微分方程(simuliation of tether)

基于视频序列的粒子滤波跟踪程序，首先选中目标图片，有仿真结果(target tracking based on particle filtering)

独立成分分析算法降低原始数据噪声，实现串口的数据采集，使用混沌与分形分析的例程，包含位置式PID算法、积分分离式PID，车牌识别定位程序的部分功能，用于建立主成分分析模型，在matlab R2009b调试通过。( Independent component analysis algorithm reduces the raw data noise, Achieve serial data acquisition, Use Chaos and fractal analysis routines, It contains positional PID algorithm, integral separate PID, Part of the license plate recognition locator feature, Principal component analysis model for establishing, In matlab R2009b debugging through.)

从先验概率中采样，计算权重，已调制信号计算其普相关密度，感应双馈发电机系统的仿真，虚拟力的无线传感网络覆盖，计算多重分形非趋势波动分析，使用大量的有限元法求解偏微分方程，各种资源分配算法实现。( Sampling a priori probability, calculate the weight, Modulated signals to calculate its density Pu-related, Simulation of doubly fed induction generator system, Virtual power wireless sensor network coverage, Calculate the multifractal trend fluctuation analysis, Using a large number of finite element method to solve partial differential equations, Various resource allocation algorithm.)

matlab实现的瑞利衰落信道仿真程序，实现方法是MEA方法(matlab realize the Rayleigh fading channel simulation program, is to realize MEA method)