duqu_xls_txt

LSVM : Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation

说明：  利用干涉仪测向，显示出无相位模糊与有相位模糊的比较相关代码(Direction-finding phase ambiguity of interferometer)

MYGUI3.2改造 - 完善文字的换行显示，并为中文支持自动换行(MYGUI 3.2 transformation- perfect wrap text display, and support for Chinese Wrap)

Simulation fish-tracking animation using matlab.

双基地声纳定位精度GDOP与目标方位的关系，目标方位为与过基线中点法线的夹角。(Bistatic sonar positioning accuracy GDOP relationship with the target position, the target azimuth angle between the baseline and over the midpoint of normals.)

说明：  更新部分 1、自适应算法采用参考文献[2]的NLMS算法，收敛速度更快，所需训练次数更少。 2、自适应收敛步长在(0,2)之间存在较优取值，Lorenz序列为0.6。(update an adaptive algorithm reference [2] NLMS algorithm, convergence faster, less the number of required training. 2, adaptive step in the convergence of (0,2) between the optimum value, Lorenz sequence of 0.6.)

通过本书可对pso有个全面深入地了解，为工程应用作准备(Through this book on PSO has a comprehensive and in-depth understanding for the engineering applications to prepare)

第3章 离散系统结构 109 3.1 离散系统结构的基本原理 109 3.1.1 离散系统结构的分类 109 3.1.2 离散系统结构的基本组成 109 3.2 IIR系统结构及MATLAB实现 110 3.2.1 直接I型 111 3.2.2 直接II型 111 3.2.3 级联型 113 3.2.4 并联型 118 3.3 FIR系统结构及MATLAB实现 122 3.3.1 直接型 123 3.3.2 级联型 123 3.3.3 线性相位型 124 3.3.4 频率取样型 126 3.4 Lattice结构及MATLAB实现 131 3.4.1 全零点FIR系统的Lattice结构 131 3.4.2 全极点FIR系统的Lattice结构 136 3.4.3 零极点ARMA系统的Lattice结构 140(Chapter 3 Structure of Discrete Systems 109 3.1 The structure of the basic principles of discrete systems 109 3.1.1 Classification of 109 Discrete System 3.1.2 The basic system structure composed of discrete 109 3.2 IIR system structure and MATLAB Implementation 110 3.2.1 Direct I-111 3.2.2 Direct Type II 111 113 3.2.3 Cascaded 3.2.4 Parallel 118 3.3 FIR system structure and MATLAB Implementation 122 3.3.1 Direct Model 123 123 3.3.2 Cascaded 3.3.3 Linear Phase Model 124 3.3.4 Type 126 frequency sampling 3.4 Lattice structure and MATLAB Implementation 131 3.4.1 System-wide zero FIR Lattice Structure 131 3.4.2 Lattice all-pole structure 136 FIR system 3.4.3 zero-pole structure 140 Lattice ARMA system)

用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确(Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct)

Digital image processing for lecture