deconvolution_demo_wiener_l2f

精通MATLAB综合辅导与指南的配套磁盘程序,本书介绍了MATLAB一般原理和基本运算，重点介绍了MATLAB图形用户界面的结构和使用方法，包括二维、三维图形的控制、色彩的配置、用户专用界面的创建。(Proficient in MATLAB comprehensive guide to counseling and supporting disk procedures, this book introduces MATLAB general principles and basic computing, focuses on the MATLAB graphical user interface structure and the use of methods, including two-dimensional, three-dimensional graphics control, color configuration, user-specific interface to create.)

a document ppt on how to perform fingure print recognition .....

图像分割matlab源码，很全，包括大部分分割算法(tuxiang fenge matlab yuanma ,henquan,baokuo dabufen suanfa)

自学的五个小程序可以运行一下试试，为初学者准备(Self-learning program can run about five small try, for beginners)

说明：  此文件为MATLAB中常用的函数逼近的算法集。所有算法由本人亲自调试通过，且算法风格简介明了，代码格式美观。(This document is commonly used for the MATLAB function approximation algorithm for the set. I personally by all the algorithms, through debugging and algorithm profile style and clear, attractive format code.)

说明：  我整理的基于卡曼滤波的盲多用户检测程序，仿真结果是对应不同信噪比时的误码率(I am finishing kaman filtering based on blind multi-user detection procedures, simulation results are corresponding to different signal to noise ratio when the bit error rate)

这是一个comsol转化成matlab程序，可以做出z轴循环，求出感应电量(This is converted into a comsol matlab program, you can make the z-axis loop, find the sensor power)

Simple steganography code to hide text inside image The code include embedding and extracting procedure

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)

包括主成分分析、因子分析、贝叶斯分析，对信号进行频谱分析及滤波，是国外的成品模型。( Including principal component analysis, factor analysis, Bayesian analysis, The signal spectral analysis and filtering, Foreign model is finished.)