hopfield

惯性导航误差分析程序可以做误差曲线图像，可以模拟真实系统的误差特性(Inertial navigation error analysis program can make the error curve of the image, you can simulate the real system error characteristic)

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

此程序为subranging结构A/D Converter的一个简单示例。(An example for subranging A/D Converter)

trace transform application in matlab

A 10th order FIR system, excited by a sum of 5 sinusoids. Assume any numeric values for system coefficients and input signal parameters. The output of the system is corrupted by Gaussian observation noise with zero mean and variance 2 σ v (consider 2 σ v = 0.1 and 1). The estimator has access to the input and noise corrupted output of the system. However, the estimator has no knowledge about the system order, its coefficient values and observation noise variance.

说明：  对复合奇异的蒙特卡洛模拟程序，亚洲期权、障碍期权的集合体 (Monte Carlo simulation of composite extoic option)

matlab的程序，包括十种经典算法。可以解决图论里的相关知识(matlab)

说明：  三层源码构架,vipcard 客户机，服务器，中间层。(san ceng yuan ma gou jia)

knapsack genet algorithm

由一张图像提取圆形的边缘,得到离散的点来拟合椭圆,并简单的去除噪声,得到椭圆中心坐标.(Extracted by a picture rounded edges to fit the discrete points oval, and simply remove noise, get the coordinates of the center of the ellipse.)