传感器信息融合-随书程序第二章

This m file performs the CDMA coding and decoding.

联合对角化，对信号进行预处理，处理信号，作为信号分离的预处理(Joint diagonalization of the signal preprocessing, signal processing, signal separation as pre)

Matlab simulink 2fsk 仿真(Matlab simulink 2fsk )

It is an program for assembler pass 1 for an operating system

wind program model in matlab

快速扩展随机生成树算法，LCMV优化设计阵列处理信号，大学数值分析算法，Relief计算分类权重，DC-DC部分采用定功率单环控制。(Rapid expansion of random spanning tree algorithm, LCMV optimization design array signal processing, University of numerical analysis algorithms, Relief computing classification weight, DC-DC power single-part set-loop control.)

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

说明：  马氏距离，欧式距离的改进，里面有详细介绍说明(The improvement of Mahalanobis distance and Euclidean distance, which has a detailed introduction.)

一个用matlab解决微分方程的例子，比较适合初学者(To solve a differential equation using matlab examples, more suitable for beginners)

系统参数变化，用集合卡尔曼滤波器估计其变化(System parameters used to estimate the changes in the ensemble Kalman filter)