Lesson-4

this document analyze programing techniques for matlab 7.x .

对能纠正5个信道错误的BCH符号进行有些分析，matlab仿真。(Encoding for BCH codes and shows it s BERperfermance.)

TREES PROGRAM IMPLEMENTAION DATA STRUCTRES

说明：  802.11b中CCK11M,CCK5.5M的实现程序，解调用的是FWT算法。(Implementation of 802.11b in the CCK11M program solution is called FWT algorithm.)

MATLAB初级入门资料，能帮助初学者看懂编程过程及原理(MATLAB primary introductory information that can help beginners understand the programming process and principle)

Calculate radius in geodesic distance with a disk as a structurant element

这是一本有关 MATLAB 的参考书，适合于使用 MATLAB 或正在打算使用MATLAB 的读者。本书另辟蹊径可以借助或不借助 MATLAB 随带的文档资料让读者自学 MATLAB。书中口语化的风格,使读者易于阅读。(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can open a new path with or without the help of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader easy to read.)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

说明：  小波分解 语音降噪 例子 正常运行 matlab(Wavelet decomposition speech denoising example normal operation)