MATLAB

Poincare Sphere Plot of Polarimetry Stokes Vectors

多核变换，稀疏变换，核变换自适应学习，图形图像变换(Description ----------- Multi-Kernel-Path package is a Matlab program that computes the entire regularization path for multiple-kernel learning problems. More precisely, it solves any learning problem with a smooth loss function and where the kernel itself is optimized over combinations of several basis kernels. It returns the solutions for ALL values of the regularization parameter.)

simulink的经典用法,偶然在其他地方看到的,和大家共享(simulink classic usage, occasionally, in other places to see, and everyone shared)

雷达系统仿真类的，天线波束中，产生一个线性阵列信号。(Radar simulation system and the like, the antenna beam, the signal to generate a linear array.)

窗函数法滤波器设计程序 对学习数字信号处理很有用(Filter window function method to study the design process of digital signal processing useful)

fire using C++ //globals LPVGA lpVga=NULL //pointer to CVga LPPALETTE lpPalette=NULL //pointer to palette

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

脉冲压缩，用于雷达信号处理，chirsp信号的时域和频域压缩算法。(range compress，used for radar signal process。)

一个较好的MATLAB潮流程序，希望对电力系统工作者有帮助。(a good trend MATLAB procedures in the hope that the electricity system is to help workers.)

这个程序的功能是：当知道自变量的范围时，实现求函数的极大值(Function of this program is: when you know the scope of the argument when seeking to achieve maximum value function)