chuanre

图像引导滤波，实现平滑滤波，图像细节增强、去雾霾！！！(guided image filtering img_enhancement img_smoothing img_flash img_feathering)

基于MATLAB心音信号的特征提取的平均的算法(Average extracted based on the characteristics of heart sound signals in MATLAB algorithm)

matlab工具箱：无迹卡尔曼滤波器及其适用的平滑器(UKF Filter and smoother)

gabor 小波matlab变换,与C结合(gabor wavelet transform matlab, and C combined)

智能天线自适应波束形成算法(LMS,RLS,MVDR1,MVDR2)(Adaptive beamforming smart antenna algorithm (LMS, RLS, MVDR1, MVDR2))

《MATLAB7.0从入门到精通》对MATLAB 7.0进行了详细的介绍，力求做到细致全面。全书共分为15章。前5章是有关MATLAB的基础知识，包括MATLAB的安装、卸载及系统功能的简述，MATLAB的数学运算和数据可视化工具以及MATLAB的编程等内容。第6章～第9章是MATLAB的高级应用部分，分别介绍了MATLAB 7.0的数据分析和处理功能，符号计算功能，Simulink仿真环境和文件I/O操作。第10章～第12章和第14章介绍了信号处理工具箱、图像处理工具箱和编译工具箱以及应用广泛的高级图形设计。第13章、第15章介绍了MATLAB的外围功能，包括与Word、Excel的混合使用和MATLAB的应用程序接口。附录部分列出了常用命令和函数，Simulink的库模块和应用程序接口函数库。( MATLAB7.0 entry to the proficient on MATLAB 7.0 for a detailed description, and strive to achieve a comprehensive and detailed. The book is divided into 15 chapters. The first five chapters are on MATLAB basics, including MATLAB installation, uninstallation and brief system functions, MATLAB math and data visualization tools, and MATLAB programming and other content. Chapter 6- Chapter 9 is an advanced application part of MATLAB, introduced the data analysis and processing functions in MATLAB 7.0, symbolic computation capabilities, Simulink simulation environment, and file I/O operations. Chapter 10 ~ 12 Chapter 14 describes the Signal Processing Toolbox, Image Processing Toolbox and compilation toolkit and widely senior graphic design. Chapter 13, Chapter 15 describes the peripheral functions of MATLAB, including Word, Excel, and MATLAB mixed use application interface. The appendix lists the common commands and functions, Simulink library modules and application program interface l)

low energy adaptive clustering code in matlab for wireless sensor netwoks

一维有差值的Parzen窗算法。非参数估计，输入训练集和测试集，带宽。得到分类结果和准确率(Parzen-1c)

排队论 经典 M/M/1程序 Queuing theory, the classical M/M/1 process(Queuing theory, the classical M/M/1 process)

load flow analysis using newton raphson method