Error-control-coding-using-matlab

calculate turbulent length scales

matlab 比较实用 方便初学者学习的好资料(matlab facilitate more practical information for beginners to learn a good)

模式搜索法源程序。模式搜索方法是求解最优化问题的一种直接搜索方法,它不用目标函数与约束函数的导数信息而只用函数值信息,是求解不可导或求导代价较大的最优化问题的一种有效方法。(Source model search. Pattern search method for solving optimization problems is a direct search method, it should not be the objective function and constraint function information of the derivative function only information is the solution of non-derivative or derivative of the cost of a larger optimization problem of a effective way.)

example of the Particle filter is introduced in this file.

This file for the downlink schedulers for the long term evolution scheduling algorithms

矩量法的matlab程序设计实例,Hallen方程求对称振子天线(Matlab programming examples of the method of moments, dipole antenna for Hallen equation )

四轴飞行器的无模型自适应系统，三种格式，全格式，紧格式，偏格式。(Four-axle aircraft modelless adaptive system, three formats, full format, tight format, partial format.)

针对基本快速扩展随机树(RRT)算法存在搜索过于平均、效率低下、用时较长的缺陷，提出了一种偏向目标型的改进型RRT算法。这种算法在生成随机点时以一定概率选择最终目标点作为局部目标点，使树的扩展有一个趋向于最终目标点的趋势，从而加快了算法的收敛速度，优化了规划路径(For basic fast Random Tree (RRT) search algorithm exists too mean, inefficient, long time with defects, we proposed a goal-biased improved RRT algorithm. This algorithm when generating random points with a certain probability of selecting a final destination point as a local target, enabling the expansion of the tree has a tendency to trend the final destination point, thereby speeding up the convergence of the algorithm, optimized route planning)

图像的分割与边缘检测 (Image segmentation and edge detection)

将声音文件在时间轴上分割成几段，分别将段的秩序及某些段内的秩序颠倒，从而实现了对声音文件的加密。首先，先读取一个声音信号，对信号做1024点FFT变换，取完点之后，分成四个向量，四个向量组成一个矩阵，再对每一个向量进行转置，再重新整合，从而就实现了回密的过程。(Sound files on the timeline will be divided into paragraphs, each paragraph of the order and reversed the order of some paragraphs to realize the encryption of sound files. First, the first reading of a voice signal, the signal was 1024 points FFT transform, check after the completion point, divided into four vectors, the four vectors form a matrix, then for each vector transpose, re-integration, which will achieve a return to close the process.)