Various-type-of-image-compressionss

说明：  03_认识MetaCharacters03_认识MetaCharacters03_认识MetaCharacters(RegExp)

该代码是根据基于流行正则化和后验概率的分类模型而改写的，能够对复杂数据进行准确的分类。(The code is based on the popular regularization and posterior probability classification model and rewritten, able to accurately classify complex data.)

说明：  ths is related to Pam

matlab 二维圆柱绕流，使用波尔茨曼方法进行数值模拟(cylinder，about cylinder in lattice boltzmamn method)

实现GPS/INS组合导航解算位置、速度、航向等参数。输入数据：东向位置、北向位置、航向角（度）、gps速度、陀螺仪角速度、里程计脉冲数(Implement integrated GPS/INS navigation solution position, speed, course and other parameters. Input data: east position, north position, heading angle (degrees), gps speed, angular velocity gyroscope, odometer pulses)

将Matlab中的矩阵写入txt文件的方法，The Matlab write txt file in the matrix method(The Matlab write txt file in the matrix method)

This program compress audio to AAC encoding format . It is developed by visual studio 2010. And written language C++.

ini penmelitian mocap yg sulit dabn susah untuk dilakukan

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

直接序列扩频的相关文章及matlab程序，以及ofdm中ici消除的论文。(Direct Sequence Spread Spectrum matlab relevant articles and procedures, as well as the elimination of ofdm thesis in ici.)