MATLAB_PGMS

近似熵是由pincus在1991年提出的一种度量序列的复杂性和统计量化的规则(Approximate entropy pincus proposed in 1991 a measure of the complexity of the sequence and statistical quantization rules)

《MATLAB 神经网络43个案例分析》目录用于学习卷积神经网络，机器学习(machine learning)

目录 1.图像反转 2 2.灰度线性变换 2 3.非线性变换 4 4.直方图均衡化 5 5. 线性平滑滤波器 6 6.中值滤波器 7 7.用Sobel算子和拉普拉斯对图像锐化： 8 8.梯度算子检测边缘 9 9.LOG算子检测边缘 11 10.Canny算子检测边 缘 12 11.边界跟踪 （bwtraceboundary函数） 13 12.Hough变换 14 13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀操作 19 16.腐蚀操作 20 17.开启和闭合操作 21 18.开启和闭合组合操作 22 19.形态学边界提取 24 20.形态学骨架提取 25 21.直接提取四个顶点坐标 26 22.文件打开窗口 27 (Contents 1 image reversal 22 23 gray linear transformation. Nonlinear transformation 44. Histogram equalization 55 linear smoothing filters 66. Median filter 77. Sobel operator and Rapp Las Image Sharpening: 88. gradient edge detection operator 9 9.LOG edge detection operator 11 10.Canny count of edge detection 1211. the border tracking (bwtraceboundary function) 1413 13 12.Hough transform histogram. threshold Law 1614 automatic thresholding method: Otsu 1815 expansion operation 1916. corrosion operation 2017. opening and closing operation of 2118. combination of opening and closing operation 2219. morphology boundary extraction 24 20 morphological skeleton extraction 2521 direct extraction of four vertex coordinates 2622 File Open window 27)

gmsk调制程序，matlab仿真程序，可以叠加程序(gmsk transform program, matlab simulation program, the program can be superimposed)

PCA特征脸 可以获得ORL库的特征连图像。(PCA face)

各种kalman滤波器的设计，用于建立主成分分析模型，使用拉亚普诺夫指数的公式，可实现对二维数据的聚类，从先验概率中采样，计算权重，本科毕设要求参见标准测试模型，基于SVPWM的三电平逆变的matlab仿真，BP神经网络用于函数拟合与模式识别。(Various kalman filter design, Principal component analysis model for establishing, Raya Punuo Fu index using the formula, Can realize the two-dimensional data clustering, Sampling a priori probability, calculate the weight, Undergraduate complete set requirements refer to the standard test models, Based on SVPWM three-level inverter matlab simulation, BP neural network function fitting and pattern recognition.)

matlab 概率统计技术，适合初学者学习(matlab probability and statistics techniques suitable for beginners to learn)

说明：  模拟干涉图像的程序，matlab编写，很实用，对正在学习的朋友有帮助。(Interference image of the process simulation, matlab written, very practical, and helpful friends are learning.)

K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。(K-SVD SPARSE REPRESENTATION)

说明：  利用粒子滤波算法的对于非线性非高斯信号处理的优越性能，将之用于模态信号、振动信号去噪处理。(The particle filter algorithm for nonlinear non-Gaussian signal processing, superior performance, it is used for mode signal, vibration signal denoising.)