ARMA

说明：  声音信号 显示 时域 频域 对声音的预处理观察

形态学，在模式识别系统中，判断两个形状的区别。(morphology )

说明：  利用matlab仿真GaAs/AlGaAs量子阱材料的载流子特性(simulate the electrons and holes characteristics in GaAs/AlGaAs QW)

matlab code for leach protocol

使用MATLAB编写的角点检测源代码，并附有用于检测算法的图形(The use of MATLAB prepared corner detection source code, together with the graphics for the detection algorithm)

Hilbert-Huang变换-DPS-WhitePaper，(Hilbert-Huang Transform-DPS-WhitePaper,)

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs.

glcm feature extraction for mammogram images

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 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。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

这个程序是基于matlab平台环境下编成的，数学计算方面的算法，包括动态规划算法，拉格朗日插值法，解非线性整数规划法，解线性规划，以及解常微分算法(This procedure is based on matlab platform into the environment, mathematics calculation algorithms, including dynamic programming algorithm, Lagrange interpolation, solution of nonlinear integer programming method, solution of linear programming, as well as the solution of ordinary differential algorithm)