ppt

基于小波域隐马尔可夫模型的图像降噪，性能最好的图像降噪程序。 (Based on wavelet-domain Hidden Markov Model of image noise, the performance of the best image noise reduction procedures.)

matlab 工具箱，贝叶斯网络工具箱，程序实现及代码(matlab toolbox, Bayesian network toolbox, program implementation and code)

Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.

PSO算法——由matlab和C++源代码组成(PSO algorithm-- from Matlab and C source code components)

Introduction to matlab tutorial with matlab codes for example to guide the readers

基于MATLAB Simulink的风力发电系统的风力机模型。(MATLAB Simulink based on the wind power generation system of wind turbine model.)

To call R from within Matlab, you will need to have R compiled as a shared library. This needs to be done when compiling R from source (or via one of the binary distributions that have support for this.) Download the R source from cran.r-project.org.

ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理 ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累(Two-phase pulse ex9_12 shrinking treatment coded signal processing using FFT and FIR ex9_13 MTD processing methods to achieve ex9_14 radar CFAR (CFAR) ex9_15 relatively coherent and non-coherent integration accumulation)

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)

搭建ofdm系统中的bfsk的主函数程序(Ofdm system bfsk build the main function of program)