信号调制

说明：  定义一个描述X，Y坐标系中点的结构体，并编写判断平面中任意给定的三个点是否在同一直线上的程序。(A description of the definition of X, Y coordinates of the midpoint of structure, and to prepare to judge any given plane is the three points along the same line of procedure.)

编队队形方向控制，将编队队形方向控制问题转化为编队队形状态两控制问题。(The direction of formation control, the direction of the formation control problem is transformed to two control problems for the formation state.)

本程序是用于信号相关分析的实验程序， 主要功能是计算和比较几种信号的相关函数。(Auto Correlation matlab program)

为stanford大学donoho教授所编写的redgit变换源代码。是用c编写的，但已转化至matlab环境使用。(Written for Professor Donoho Stanford of the University of redgit transform source code. Is written in C, but has been converted to Matlab environment.)

三电平原理仿真，请根据您的实际使用情景进行修改(Three-level principles of simulation, please be modified according to usage scenarios)

Matlab code for Kalman filter

说明：  S变换的MATLAB程序，可用于地震勘探去噪中，性能优于小波变换(S transform MATLAB program can be used for seismic exploration in the de-noising performance is better than wavelet transform)

bayes分类器 Bayes classifier for Gaussian distributiuon 直接可以解压缩(Bayes classifier Bayesian classifier for Gaussian di stributiuon can directly extract)

MATLAB 编程实例 新手上路必备 让你通过简单的实例深刻理解编程模式和语法规则(MATLAB Programming Example novice road you must have a deep understanding of a simple programming model and example of grammar rules)

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)