checkout-et-dvhop

一维EKF滤波算法 主要用于目标跟踪 同理可推广到多维情况(ekf object tracking)

matlab环境下的数学建模水灾巡视的模型及其代码(Mathematical modeling flood model and code inspections)

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)

利用SIMULINK建立Lorenze系统的仿真模型，并实现同步预测(Simulink for lorenze system and synchro predict)

可以计算DEA中的CCR模型，编程通过CCR乘子模式(Can be calculated in the CCR DEA model, programming model through the multiplier CCR)

抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定.(parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

说明：  数据通信中误码检测机制的研究，使用MATLAB对二维奇偶校验码进行测试(Studies of Error Detection Techniques in Data Communications，two-dimensional parity check is simulated through MATLAB)

运用了canny算子进行图像的边缘检测，还可以计算图像中物体的个数(Using the canny operator for image edge detection)

通过matlab中的函数功能，绘制各种图形(Function in matlab function to draw various graphics)

APCLUSTER Affinity Propagation Clustering (easy to usemodify, but no sparse capability)