matlab

Orthogonal Freq, Division signal

image quality measures good for you

说明：  美赛 人员疏散模型 元胞自动机 美国大学生数学建模竞赛MATLAB示例程序(Evacuation Model Based on Cellular Automata)

说明：  Matlab Simulink仿真程序，主要完成了pv光伏阵列的搭建。(Matlab Simulink simulation program, mainly completed the PV array construction.)

阿兰方差的基本实现，可对滤波效果进行检验。(Allan scheme,which can terify the results of denoising in terms of three noise factors.)

Simulink models of PV modules .

inverted pendulum fuzzy control

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)

huffman编码 图像压缩 RLE编码 建立哈夫曼树及遍历哈夫曼树的MATLAB程序(huffman coding image compression coding to establish Huffman and RLE Huffman tree traversal MATLAB program)

两个matlab编写的经典游戏 数独和俄罗斯方块 ( MTETRIS Matlab Tetris (v1.1) To play this game, type: MTETRIS Controls (use numpad): [4] Left [5] Spin [6] Right [2] Drop alternatively, [A] Left [W] Spin [D] Right [S] Drop [Ctrl+P] Pause/Unpause During the game, use the game menu to set difficulty and to enable/disable sound effects. Only one game can run at a time. mtetris was written and tested on Matlab 5.3 (R11), but may work with as early as Matlab 4.0 without changes. )