目标定位

说明：  包括建初始种群，编码，适应值计算，以及交叉、变异、重组等源码(Including building the initial population, coding, adaptation values, as well as crossover and mutation or re-source)

通过对proc的文件进行操作来了解KERNEL的有关信息(of proc operate in the paper to find out the relevant information KERNEL)

matlab檔案，用於讀取nmea檔案，將NMEA檔案輸出成一個Class架構值(read and parsing NMEA file)

The goal of this program is to demonstrate the construction of a huffman encoding tree. The tree is represented as a binary tree using MATLAB s built in treeplot commands. Contruction of the tree as well as the huffman code book will be described in later sections

用matlab语言写的地震偏移成像软件集,很有用的东东呵(Matlab language used to write the seismic migration imaging software set, very useful Dongdong Oh)

matlab编写的一维扩散方程求解程序，适用于初学者学习CFD编程：隐式算法，TDMA求解，分别计算平板、球、圆台的导热问题，采用了不同的边界条件 PS：自己编写的计算传热学作业(1D diffusion equation solver using MATLAB ，for fresh learner in CFD programming: Implicit, TDMA. 3 cases： plane， sphere， and yuantai heat transfering problem. In different boundary conditions. )

在qpsk下的Fitz 算法，是对fitz论文中算法的实现，压缩文件中包含代码和实验图像(The Fitz algorithm under qpsk is an implementation of the algorithm in the fitz paper, which contains code and experimental images)

模糊C均值及K均值聚类算法matlab程序代码，输入矩阵，及分类数可进行模糊分类，并得到类别的聚类中心。(Fuzzy C-means and K-means clustering algorithm matlab program code, input matrix, and the number of classification can be fuzzy classification, and get the classification center.)

说明：  地震波作用下计算地震加速度、速度、位移反应谱(Computation of seismic response spectrum)

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)