ICI1

本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。(This article SLAM algorithm for data association process, a simple method to Euclidean distance combined with the Mahalanobis distance for data association. Algorithms do not have to calculate all the characteristics of the map with all measurements between the Mahalanobis distance, but the first to use a relatively simple calculation of Euclidean distance to be associated characteristics of narrowing the search. The use of synthetic data simulation results show that the improved methods of data association can significantly reduce the system to calculate the volume and improve the efficiency of association, and will not lead to errors associated with an increase.)

PN码同步仿真输入 PN码同步仿真模块 PN码同步仿真输出(PN code synchronization simulation input PN code synchronization simulation module simulation output PN code synchronization)

一個基本的鎖相迴路設計(PLL)simulink 程序(A basic phase-locked loop design (PLL) simulink program)

柔性机构优化设计程序，主程序为topm，只需要输入行列的单元数、体积份数、惩罚因子就可获得所需的柔性机构(compliant mechanisms to optimize the design process, the main program for the topm, only need to enter the ranks of the unit number, the volume of shares to obtain the necessary penalty factor can be compliant mechanisms)

层次分析法的详细介绍以及matlab源码(introduce analytic and the program of MATLAB)

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度

图像的双线性插值程序，在两个方向分别进行一次线性插值。(Bilinear interpolation process of the image in both directions, respectively for a linear interpolation.)

标准大气子程序，通过插值获得h=0-21336m高度大气密度，声速，静压，粘性等数据。(The standard atmospheric subroutines, h = 0-21336m highly atmospheric density, sound velocity, static pressure, viscosity data obtained by interpolation.)

matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。(Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120, T1 = 8.3Sec T2 = 6.2Sec. The impulse response of the process of the theoretical value of g (k) meet. According to the process input and output data u (k) and z (k), the estimated impulse response of a process value g2 (k), and the correlation analysis algorithm.)

说明：  内点罚函数法算法描述及MATLAB编程实现(Internal penalty function algorithm description and MATLAB programming)