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伪随机序列与扩频通信方面的实验程序，虽然只有一个程序但是有通讯实现的全过程(Pseudo-random sequence spread spectrum communications with the experimental procedure, while only a program but the whole process of communication to achieve)

说明：  一个用MATLAB实现的单机器人避障程序。效果很好。(Using MATLAB to achieve a single robot obstacle avoidance procedures. Good effect.)

This function calculates the airfoil coordinates using Sobieski s relationships parameters. The coordinates are stored in a .dat file

matlab中GUI界面来实现用劳斯判据判断系统的稳定性(GUI interface in matlab using Routh criterion to determine the stability of the system)

matlab函数逼近程序，里面包括了常用的matlab函数逼近的程序，包括手写的和matlab自还的函数。(matlab function approximation process, which includes the commonly used matlab function approximation procedures, including hand-written and self is also a function of matlab.)

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

全带宽服务器（TBS）simulink仿真(Full bandwidth server simulink simulation)

关于欧洲标准的cost207的信道模型，以matlab函数形式给出。(on European standards cost207 the channel model, presented in the form of Matlab function.)

基于LMS和RLS的自适应滤波器应用仿真(LMS adaptive filter simulation-based applications and RLS)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)