BRF

UDF添加动量源项 fluent仿真分析虚拟螺旋桨(UDF momentum)

研究了汽车制动过程中车速、轮速等的变化过程和影响因素；以化整为零的思想，研究得到制动过程中各物理量间的微分方程关系；进而建立在ABS下的数学模型；继而通过使用simulink建立仿真模型；采取逻辑门限的控制方法，综合仿真的整个动态变化过程；得到车速、轮速、滑移率、路面附着系数和制动距离随时间的变化曲线；最后利用图像分析的方法对各物理量进行分析、比较，对比有无ABS系统下制动距离的变化，得出使用ABS控制策略能显著缩短制动距离，提高制动安全性。数据分析和处理主要应用MATLAB软件。(The braking dynamics model of quarter vehicle ABS is established. It simulates the dynamic behavior of a vehicle under hard braking conditions. We researched the change of the vehicle speed and wheel speed during the vehicle braking. According to Newton s first and second law, then dfferential equations are obtained, so we get the Mathematical model. Next the response of the system is simulated by using Simulink in MATLAB . Based on the logic threshold control, we get the curve that Speed, wheel speed, slip ratio and road adhesion coefficient and brake distance changes over time. Contrasting with ABS or without ABS , using the ABS control strategy can significantly shorten the braking distance. Data analysis and processing mainly used MATLAB software.)

分别实现由MVDR和RLS实现了单波束形成（signal beamfroming using MVDR and RLS）(Realize, respectively, by the MVDR and RLS realize a single beamforming (signal beamfroming using MVDR and RLS))

optical loss measurements

空间相关噪声下信源个数的聚类检测算法，一篇核心期刊论文(Spatial correlated noise source number of the cluster detection algorithm, a core journal papers)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

说明：  随机信号谱分析技术实现 随机信号谱估计及质量评价。 离散随机信号通过线性时不变系统时，系统所产生的响应。 功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法 (Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear systems, the system generated response. Realization of the power spectrum estimation: autocorrelation function, periodogram, Bartlett law, Welch method, MTM method, MUSIC method)

说明：  最全的通信类Matlab仿真例子集合。。。。。。。。。。。。。。(The most comprehensive set of communication class Matlab simulation example. . . . . . . . . . . . . .)

2014研究生数学建模竞赛A题及相关资料，供大家学习交流(2014 Graduate Mathematical Contest in Modeling A title and related information , for we learn )

最小方差恢复算法，用于恢复图像中未知位置的点像素(Minimum variance recovery algorithm, used to restore the image point of the unknown location of the pixel)