IMAGE_PROCESSING_GUIDE

利用matlab数值计算的强大功能和,建模容易实现的特点"进行了捷联式惯性导航系统的仿真研究,对四元数及姿态矩阵等的解算采用编程实现"陀螺仪和加速计的建模用.(Matlab numerical calculation using the power and, modeling the characteristics of easy to implement " a strapdown inertial navigation system of the simulation study and the attitude quaternion matrix solvers such as the use of programming" gyroscope and accelerometer Modeling used.)

说明：  ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不 用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。(: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entropy and mixing entropy, and then describes the two definitions do not have the physical meaning of the calculation of entropy in the range of the most critical partitioning problem and propose a better method of interval division.)

这是一个关于MUSIC算法的程序，非常经典，一看就懂哦。(This is a program about MUSIC algorithm, very classic, a see understand oh.This is a program about MUSIC algorithm, very classic, a see understand oh.)

说明：  排列熵可以很好的区分信号和噪声。可以用做优化算法的适应度函数(Permutation entropy can distinguish signal from noise. Can be used as fitness function of optimization algorithm)

在matlab编译的利用黄金分割法求解的优化算法及实例(Matlab compiled in the golden section method using the optimization algorithm and examples)

matlab 实现fft及频谱分析 适合入门了解(matlab fft)

说明：  该程序中包含有各种响应面方法，如一次响应面和二次响应面(response surface method)

this source code is matlab rectifiers

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

在线的SVR实现，Matlab版本实现。(Online SVR, matlab version.)