rbf_tomo_1_01

电力系统状态估计的程序，可以进行简单的14机模型的计算(Power system state estimation procedures, a simple model for the calculation of the 14 machines)

初学CS，自己编了很多算法，试试发出来大家一起交流，基于CS的OMP算法(OMP algorithm based on CS)

在蛋白质数据库中下载氨基酸序列，然后用此程序读取氨基酸序列(in protein pdb,read amino acid series)

去雾 对雾天拍摄图片运用图像增强的方法进行去雾处理 达到清晰的效果 matlab程序代码(Go to fog fog shooting pictures using image enhancement method to fog treatment to achieve a clear effect Matlab code)

SAR CS算法,用于合成孔径雷达的仿真，请大家多多指点(SAR CS)

说明：  根据自适应模糊控制原理，设计自适应律，并设计simlink主程序和控制器S函数，对机器人单臂机械手进行自适应模糊控制。(fuzzy adaptive control )

ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University). (ReBEL is a Matlabtoolkit of functions and s cripts. designed to facilitate in sequential Bayesian ference (estimation) in general state space mo dels. This software consolidates research on n ew methods for Bayesian estimation a recursive nd Kalman filtering by Rudolph and van der Merwe Eric A. Wan. The code is developed and maintaine d by Rudolph van der Merwe at the OGI School of Sci ence)

调用函数，并对函数进行求解，把数据存储，并画出其中几条图(Call the function, and the function is solved, the data is stored, and draw the diagram in which several)

关于matlab的一个学习资料，名字是Using the MATLAB PDE TOOLBOX(A study on the matlab data, name Using the MATLAB PDE TOOLBOX)

边缘提取技术边缘是图像对视觉的最主要特征，因此在计算机视觉技术中提出了多种检测边缘的算法。由于各种原因，图像常常受到随机噪声的干扰，经典的边缘检测的结果常常是将噪声误检为边缘点，而真正的边缘由于噪声干扰却可能被漏检。因而对于被噪声污染的图像来说，一种好的边缘检测方法应具有良好的噪声抑制能力，同时又有完备的边缘保持特性。(After analysing the soft threshold funetion,the smoothness threshold function is proposed by modifying the soft threshold function.because this function keeps smooth in the entire value range,some important details in the process of image denoising can be held. Firstly we detect the edge of the noising image. )