LDPC代码|matlab

RFS filter bank, by zisserman and group

对libsvm产生的model进行转换，从原先matlab的mat格式，转换为c语言的文本格式，然后进行预测预测(Allow phonetic typing Libsvm the model converted from the original Matlab mat format, converted to text format c language, and then to predict the forecast)

改进的剪切波变换，用于图像处理，分解层数多，运行速度快(Improved shear wave transform for image processing, decomposition of many layers, fast running speed)

MATLAB课件，有利于学习应用MATLAB (MATLAB software is conducive to studying the application of MATLAB )

基于matlab的进行鸡蛋形状特征提取的程序，能提取鸡蛋裂缝区域的形状特征(Matlab based on the conduct of an egg shape feature extraction procedure can extract the shape of an egg cracks in the regional characteristics of)

机器人的PD加前馈控制，在MATLAB的m文件中编程实现(robot PD increase feedforward control, in MATLAB m document Programming)

该书通过大量实例介绍Matlab仿真技术在信号处理、通讯系统、电子电路、控制系统中的应用和仿真(Book introduced through a large number of instances of the the Matlab simulation techniques in signal processing, communication systems, electronic circuits, control system and simulation)

采用MATLAB编程，采用遗传算法求分段函数极值(Using MATLAB programming, using genetic algorithm for segmentation function extremum)

sound operations in matlab

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)