Gauss

Matlab的centroid.m、mse_dist.m、uq_dist.m文件 ，它们分别求：一个区域的质心、对已知分布和量化区域边界的均方量化误差、采用均匀量化对一给定信源量化时的失真。(Matlab)

通信原理的matlab仿真实验四进制的相位调制(Communication principle of matlab simulation quaternary phase modulation)

完整的Matlab程序，本程序为人工鱼群算法优化支持向量机参数，并取得良好效果(Complete Matlab program, the procedure for the artificial fish school algorithm parameters optimized support vector machine, and achieved good results)

关于数字水印的matlab代码，对初学者有很大帮助，也可以拿来做毕业设计的资料(On digital watermarking matlab code, very helpful for beginners, but also can be used to do graduate design)

基于马尔科夫链概念，3状态概率转移矩的matlab实现(Based on the concept of Markov chain, the realization of the 3 stats matrix s transfer probability matrix in matlab)

说明：   有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。 现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。 可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。 输入： 两个整数L(1<=L<=10000)和M(1<=M<=100)。 接下来有M组整数，每组有一对数字。 输出： 可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 &lt = L &lt = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 &lt = M &lt = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 &lt = L &lt = 10000) and M (1 &lt = M &lt = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)

说明：  The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

完成双目标定，利用标定参数校准源图像和目标图像，并计算得到其视差图(The binocular calibration is completed and the calibration parameters are used to calibrate the source image and the target image, and the parallax diagram is calculated.)

说明：  本人做的spwm逆变仿真-spwmtext.mdl，毕业设计做的仿真，拿来贡献(My SPWM inverter simulation - spwmtext.mdl, the simulation of graduation project, to contribute)

hannel estimation performance for Discard Prefix DS-CDMA against the transmitted data vector