MATLABfunction

主要功能是用MATLAB算法实现水平井钻井液安全密度(Main function is to use MATLAB in susuan image segmentation algorithm)

这段代码是从类平均向量中提取判别信息的matlab代码(This code is from the category average Discriminant Vector extract information matlab code)

u取不同值时CCDF曲线比较，u律压缩扩张法，效果一般(u for different values of CCDF curves, u law compression expansion method, the general effect)

基于adaboost的人脸检测算法,包括训练，修改了数据读取结构，降低了内存需求(Based on adaboost face detection algorithms, including training, to modify the data read structure, reducing the memory requirements)

先对陀螺仪测量数据进行预处理，每隔100行抽取一行数据，以第7列数据为例，用ALLAN方差法分析出五项主要参数(First gyroscope measurement data preprocessing, extract a row of data every 100 rows, seven of data, for example, ALLAN variance analysis of the five main parameters)

matlab 地震 速度分析 自写的matlab源程序(matlab Velocity analysis)

CMMB标准下的LDPC码校验矩阵生成的Matlab程序 4608*9216的矩阵 希望对大家有帮助(CMMB standard LDPC code parity check matrix generated under the the Matlab program 4608* 9216 matrix we hope to help)

一个计算机辅助技术与仿真技术的实例，主要是讲解matlab与自动控制系统相结合的技术(Examples of a computer-aided technology and simulation technology, mainly on the matlab and automatic control systems combine technology)

基于OFDM 调制解调传输的通信系统，MATLAB，SIMULINK(OFDM-based communication system modem transmission, MATLAB, SIMULINK)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)