multifractal

关于matlabStart，很好的教程值得看。(matlab)

matlab小波分析和图像检测的内容，运用matlab实现上述算法和运用(Matlab wavelet analysis and test, the contents of the image using matlab the above algorithms and use)

武汉理工大学matlab课程设计 信号调制(wuhan university of technology )

base implementation of MD4 family style digest as outlined in "Handbook of Applied Cryptography", pages 344 - 347.

对于一段有杂音的音频信号，用过多种方式去除，建立多种经典滤波器，并比较优劣。(For a period of noise audio signal, used a variety of ways to remove the establishment of a variety of classic filter, and compare the pros and cons. )

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

与Field_II配套使用，提供了一个基于matlab平台的gui界面，可自由定制参数，选择成像方式，功能强大。(This tutorial is designed to give you an introduction to Field_II, an acoustic pressure field simulation package written by Dr. Joergen Jensen. is the method for you. To run this tutorial, you will need to have MATLAB available on your computer. Download the Field_II source code and the Field_II_GUI files to your machine,and then run through the tutorial.)

精通MATLAB数字图像处理与识别 chapter5 代码(Proficient in MATLAB digital image processing and recognition chapter5 code)

实现典型相关分析，通过虚拟阵元进行DOA估计，基于分段非线性权重值的Pso算法。( Achieve canonical correlation analysis, Conducted through virtual array DOA estimation, Based on piecewise nonlinear weight value Pso algorithm.)

Feature extraction for color images using Auto Color Correlogram