matlab

Sample Code for Generic OFDM with Cyclic Prefixing

说明：  基于MATLAB单神经元PID控制源程序(MATLAB-based single neuron PID control source)

说明：  ① 样本数据从MATLAB命令窗口或新建一M文件作为数据输入文件，样本输入变量名为samin,样本输出变量名samout 样本个数和每个样本的维数可任意，样本输出的个数与样本个数应一致，即保证每个样本都对应一个期望输出，但每个输出的维数不要求与输入的维数相同，可任意； ② 聚类中心的个数（即基函数的个数）可根据实际情况调整；同样可调整参数的还有重叠系数、聚类中心最大更新次数、聚类中心更新终止误差； ③ 训练结束后进行测试时，要求输入的测试数据与样本具有相同的维数，测试数据的个数可任意； ④ 如果训练样本是二维的，则数据中心聚类的结果可用一平面图显示出来；同样测试数据的输出是一维的话也可显示出来； (RBF artifical neual networks)

code to load, display and play an audio file

program to code some properities in chaos

使用大量的有限元法求解偏微分方程，是国外的成品模型，是本科毕设的题目，能量熵的计算，GPS和INS组合导航程序，利用自然梯度算法。( Using a large number of finite element method to solve partial differential equations, Foreign model is finished, The title of the commercial is undergraduate course you Energy entropy calculation, GPS and INS navigation program, Use of natural gradient algorithm.)

：探索一种能有效抑制和消除颅脑MRI运动伪影产生的方法，以提高图像质量和工作效率。方法：利用包装CT管球的海绵，设计并制作了2 cm x 7．5 cm x 22 cm，3 cm x 7．5 cm x 22 cm，4 cm×7．5 cm x 22 em等3种规格的海绵垫， 配合使用颅脑正交线圈进行颅脑MRI检查。结果：采用“加垫法”行颅脑MRI检查2 638例。其中，一次性扫描成功2 633 例(占99．81％)，失败5例(占0．19％)； 在扫描失败的5例患者中，第2次扫描时配合使用医用绷带成功4例。失败l例。结论：采用“加垫法”行常规颅脑MRI扫描，方法简单、可靠。可有效抑制和消除运动伪影的产生，提高图像质量和工作效率。(To explore a brain can effectively inhibit and eliminate motion artifacts of MRI approach to improve the image quality and efficiency. Methods: The CT tube packing sponge ball, designed and made 2 cm x 7.5 cm x 22 cm, 3 cm x 7.5 cm x 22 cm, 4 cm × 7.5 cm x 22 em 3 sizes, etc. sponge pad, with the quadrature head coil using brain MRI. Results: The " plus cushion Law" the Brain MRI examination 2 638 cases. Among them, the one-time scan is successful 2 633 cases (99.81 ), failed in 5 cases (0.19 ) Conclusion: " plus cushion Law" routine brain MRI scan, the method is simple and reliable. Can effectively suppress and eliminate motion artifacts, and to improve image quality and efficiency.)

tsp问题 一些经典的MATLAB程序 模拟退火算法 遗传算法 望高手指几点(tsp)

求解抛物型方程的交替隐方向P-R差分格式的matlab程序实现。不过大家在用的时候要用到原函数f.m和精确解函数uexact.m，应用程序的时候只要修改精确解和右端项就可以了。(Solving Parabolic Equations PR alternating direction implicit difference scheme of matlab program. But we can use the time to use the original function fm and the exact solution function uexact.m, whenever an application to amend the exact solution and the right side of it.)

Real world problems often present multiple, frequently conflicting, objectives. The research for optimal solutions of multi-objective problems can be achieved through means of genetic algorithms, which are inspired by the natural process of evolution: an initial population of solutions is randomly generated, then pairs of solutions are selected and combined in order to create new solutions slightly different the initial solutions. The fittest solutions are kept in the population and are used to generate new solutions