vec2grid

多变量非线性优化模型求解，对约束条件建立m文件(Multi-variable nonlinear optimization model for solving the establishment of restrictive conditions on m file)

针对模型中人为设定参数值的不合理性，对机动时间常数的倒数进行建模，提出新的模型，并给出相应的α-Jerk滤波算法。该模型在估计目标状态的同时，能够实时估计参数α的值。仿真结果表明α-Jerk模型比Jerk模型收敛速度更快，状态估计更精确。并与jerk算法进行了比较。(Artificially set for the model parameter values ​ ​ of the irrational nature of the reciprocal of the motor time constant modeling, and propose new models and the corresponding alpha-on Jerk filtering algorithm. The model to estimate the target state at the same time, real-time estimate of the value of the parameter α. The simulation results show that alpha-on Jerk model faster convergence than the Jerk model, state estimation more accurate. And jerk algorithm.)

数值分析,迭代方法,高斯列主消元法,matlab源程序, Gauss(Numerical analysis, iterative method out PCA Gaussian elimination method, matlab source code, Gauss)

本程序是EM算法，是参数估计（极大似然估计）方法的数值解法。(This procedure is the EM algorithm, is the parameter estimation (MLE) method of numerical solution.)

a functio that change binary codes to intergers

mimo的matlab仿真源程序 注释详细、运行无误(matlab code for mimo Include comment Details and running correctly)

包含了阵列信号处理的常见算法，是机器学习的例程，是学习PCA特征提取的很好的学习资料，关于神经网络控制，从先验概率中采样，计算权重。( Contains a common array signal processing algorithm, Machine learning routines, Is a good learning materials to learn PCA feature extraction, On neural network control, Sampling a priori probability, calculate the weight.)

variation in the min sum ldpc decoder in matlab

最大似然检测的相关程序，用于单用户MIMO，初学编程(Maximum likelihood detection procedures for single-user MIMO, novice programming)

通过本课程学习，使学生掌握利用MATLAB进行数值计算的基本方法，熟悉MATLAB编程环境、语言语法、程序结构、编程及调试技术，掌握MATLAB中M文件、M函数编写方法及调试技术、MATLAB的绘图和图形控制函数等内容，上机练习MATLAB数值解算方法，具备上机操作的技能，学习MATLAB在电气工程学科中的建模与分析方法，为后续专业课程学习奠定基础。 (Through this course, students master the basic methods of numerical calculation using MATLAB, familiar with the MATLAB programming environment, language syntax, program structure, programming and debugging techniques, master MATLAB M-file, prepared by the M function method and debugging techniques, MATLAB graphics control functions, such as content and graphics on exercises MATLAB numerical solution method, with computer operation skills, learning modeling and analysis of MATLAB in electrical engineering disciplines, to learn lay the foundation for subsequent professional courses.)