ELM.m

matlab gui希望对大家用 大家可以看看(very good)

c#调用matlab函数进行动态画图的简单示例，只是进行了功能演示，界面很粗糙(c# call the matlab function dynamically drawing a simple example, just conducted a functional demonstration of the interface is very rough)

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)

基于PCA（Principal Component Analysis）算法的故障检测(Fault detection based on PCA algorithm,)

采用多模方式的卡尔曼滤波程序，仿真对运动目标的跟踪(Using multi-mode approach of Kalman filtering process, simulation of moving target tracking)

很多很好的matlab程序，包括用于数值微分，数值积分，非线性方程组求解等等(It contain a lot of good marlab programs, including those for numerical differentiation, numerical integration, nonlinear equations to solve, and so)

说明：  室内房间混响模型的MATLAB源代码，根据IMAGE模型编写的 (Room reverberation model indoor MATLAB source code, prepared in accordance with model IMAGE)

基于MATLAB的仿真，伪随机序列的应用和产生。对于学习和工程应用有帮助。(MATLAB-based simulation, the application of pseudo-random sequences and generation. For help learning and engineering applications.)

The number π is a mathematical constant that is the ratio of a circle s circumference to its diameter and is approximately equal to 3.14159. It has been represented by the Greek letter "π" since the mid-18th century, though it is also sometimes romanized as "pi

采用MATLAB进行图像的轮廓提取，此为最简单的提取程序。(Using MATLAB contour extraction of the image, this is the most simple extraction procedure.)