MIMO

隐马尔可夫链模型和例程（包括前向、GwfTugA后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数OiJxViY运算程序）(Hidden Markov chain model and routines (including forward, backward GwfTugA algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of the preparation of the logarithm of the OiJxViY computing program))

说明：  通过矢量积的方式计算6R自由度机器人的雅可比矩阵。通过Matlab的脚本文件，将机器人的DH参数写在脚本开始出，修改此处可以修改机器人参数。(The Jacobi matrix of 6R degree of freedom robot is calculated by vector product. Through the Matlab script file, the robot's DH parameter is written on the script to start out, modify here, you can modify the robot parameters.)

BER for BPSK in AWGN with receive diversity

MATLAB SIMULINK与控制系统仿真 王正林等编着(MATLAB/SIMULINK and control system)

It is the corresponding testing module of the function that is specified in the training phase. test_set is a NxD matrix where N is the number of samples in the test set and D is the dimension of the feature space. true_labels is a Nx1 matrix specifying the class label of each corresponding sample s features (each row) in test_set . adaboost_model is the model that is generated by the function ADABOOST_tr .

噪声中正弦信号的现代法频谱分析，分析了自相关法、Burg法、协方差法和改进的协方差法对功率谱的影响以及阶数、信噪比、窗长度对自相关法频谱分析的影响。(The influence of autocorrelation method, Burg method, covariance method and improved covariance method on power spectrum and the influence of order, signal-to-noise ratio and window length on the spectrum analysis of sinusoidal signal in noise are analyzed.)

说明：  UWB1000模块测试所得数据初步处理之后，已知锚点的坐标，可利用该文件里的程序解算标签三维位置。(After preliminary processing of data obtained from UWB1000 module test, the coordinates of anchor points are known, and the program in this file can be used to calculate the three-dimensional position of tags.)

5次多项式插值，用于机器人轨迹规划，是初学者很好的例子，有助于理解机器人的运动表达，及其轨迹规划的概念(5 times polynomial interpolation, used in robot trajectory planning，Is a good example of the novice, help to understand the movement of the robot, and the concept of trajectory planning)

说明：  利用MATLAB写的该程序可以计算全息图的制作与再现(Written in MATLAB to use the program can calculate the hologram production and reproduction)

一种快速多目标遗传算法，NSGA-Ⅱ是目前最流行的多目标进化算法之一，它降低了非劣排序遗传算法的复杂性，具有运行速度快，解集的收敛性好的优点，成为其他多目标优化算法性能的基准。(A fast multi-objective genetic algorithm, NSGA-Ⅱ is the most popular one multi-objective evolutionary algorithm, which reduces the non-dominated sorting genetic algorithm complexity, running speed, the solution converges and good benefits set to become Other multi-objective optimization algorithm performance benchmarks.)