cfoa

工程领域，PR方程代码.用于计算混合工质性质。(PR equation code)

天线组阵中相位差的递推最小二乘估计与滤波(Phase array antenna group recursive least squares estimation and filtering)

说明：  关闭OFDM信号子载波，画出OFDM信号频谱图，查看旁瓣泄露情况(Close OFDM signal sub-carrier OFDM signal spectrum plot, view the situation sidelobe leakage)

用来计算流体力学中非常典型的不可压缩方腔流动。包含MATLAB程序绘制流函数图。(It is used to calculate the incompressible flow of a typical square cavity in fluid mechanics. Contains MATLAB programs to draw stream function diagrams.)

FLUENT中离散相粒子追踪设置及相关计算，设计用户自定义相关内容(Discrete phase particle tracking in FLUENT)

利用FDTD算法简单计算波导耦合环的M文件。( M-file of using FDTD approach simulation the waveguide coupling ring)

sar图像去噪的几种新的方法，数学方法是部分子空间法，实现典型相关分析。( Several new methods sar image denoising, Mathematics is part of the subspace, Achieve canonical correlation analysis.)

速度曲线规划，在给定长度path 曲线上，根据各waypoint的速度约束，规划出平滑的速度曲线(speed curve planning.In a given length path curve, according to the speed of the waypoint constraints, planning a smooth speed curve.)

说明：  用Doolittle式的LU分解来求解线性方程组。(Solve the linear equations using Doolittle LU Decomposition!)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)