C7

Block base DCT data hiding and recovery of secrete image.

《matlab应用大全》赵海滨编著，清华大学出版社，第九章主讲二维数据可视化(The application of matlab Zhao Haibin compiled, tsinghua university press, chapter 9 on two-dimensional data visualization)

Snake Methods for Image 2D

我下的一本关于机械故障诊断的电子书，对初学者入门比较好(I was under a mechanical fault diagnosis on the books, started better for beginners)

is a document hwo help to know about electrical enginering

说明：  这个一个用matlab写的关于二值图像游程编码的实例(binary image coding)

在算法设计中实用Strategy模式，实用Controller实现模块间通信，实用Singleton设计模式，实用模型-视图-控制器架构设计应用程序，程序内容是颜色空间转换(colorDetection.h colorDetection.cpp colordetector.cpp correspond to Recipe: Using the Strategy Pattern in Algorithm Design )

DDS用matlab实现的源程序，可以实现调频信号，和调相信号(DDS source code with matlab implementation, can achieve FM signal, and phase modulation signal)

simulink学习教材，快速学会simulink的基本使用(Simulink learning materials, basic use quickly learn to simulink)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)