Simulink_study

本书以Matlab6.1版为基础，详细介绍了基本原理、操作、运算以及数据的可视化处理、二维三维图形绘制与修饰、数据处理、数值计算、符号计算、simlink仿真等。 (Book Matlab6.1 version, based on detailed basic principles, operations, computing and data visualization, 2D and 3D graphics rendering and modification, data processing, numerical computing, symbolic computation, simlink simulation.)

matlab函数，指令集。包括语法和描述(matlab function and instruction set. Including syntax and description)

基于非线性动态逆的F18飞行控制仿真，包括动态逆的构建、PD控制律等(Control based on nonlinear dynamic inversion F18 flight simulation, including building dynamic inverse, PD control law, etc.)

自适应神经模糊推理系统的可运行实例，注释清楚易懂(Operable examples of adaptive neuro-fuzzy inference system)

filterfor noise removing from the image matlab code

说明：  hslogic算法仿真,基于MATLAB的TSP算法的优化仿真与性能分析(Hslogic algorithm simulation, optimization simulation and performance analysis of TSP algorithm based on MATLAB)

clear 从内存中清除变量和函数 exit 关闭MATLAB load 从磁盘中调入数据变量 pack 合并工作内存中的碎块 quit 退出MATLAB save 把内存变量存入磁盘 who 列出工作内存中的变量名 whos 列出工作内存中的变量细节 workspace 工作内存浏览器 (There is one outlier in the data of , but is not of data .For and the line of Q2 is in the middle of the box, so there are not asymmetries for both and .)

image processing and matlab application

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法，非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)