matlab_GUI_1

基于Simulink的HLA联邦成员开发技术的研究(Simulink-based members of the HLA Federation Development Research)

说明：  在粒子滤波器框架下，选取区域协方差矩阵特征对运动独立的目标进行描述.(an adaptive template update method base on region covariance descriptor to track the target using particle filter algorithm in a complex circumstance. )

说明：  JC验算点法matlab程序设计。里面使用了当量正态法进行计算(JC checking point method matlab program design. Which use the equivalent normal method calculated)

一些自适应信号处理的算法，部分实现了追踪测速迭代松弛算法，小波包分析提取振动信号中的特征频率。( Some adaptive signal processing algorithms, Partially achieved tracking speed iterative relaxation algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency.)

MAT L A B中预定义的1 7种不同的颜色图案(MAT LAB in the pre-defined 17 different colors and patterns)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

惯性导航系统中，惯导解算过程中组合导航算法(Inertial navigation systems, inertial navigation solution integrated navigation algorithm)

LLVM: A Compilation Framework forLifelong Program Analysis & Transformation. 2004 International Symposium on Code Generation and Optimization (CGO’04)

matlab编制的短脉冲ddc程序,希望对大家有帮助！(matlab prepared short pulse ddc procedures, we would like to help!)

MIMO-OFDM系统下的资源分配程序( resource allocation program in MIMO-OFDM systems)