m文件

说明：  计算两个时间序列的传递熵，返回双个方向的值(compute the transfer entropy)

关于神经网络BP的一个例子，可以下来看看 适合初学者(BP neural network on an example, you can look down for beginners)

MATLAB信号处理详解,陈亚勇著，丰富的源码(Detailed MATLAB signal processing, Chen Yayong book, a rich source)

说明：  可以实现信号的降噪，对信号进行奇异值分解，里面有噪声信号和原始信号，可以用来进行对比(It can reduce the noise of the signal and decompose the singular value of the signal)

an image analysis set of codes to help you in understanding probabilistic image analysis for pattern recognition , machine learning and computer vision research works

Need matlab code. it is required for understanding.

this program deals with homomorphic analysis of speech. it was homework assignment in digital speech processing course. speech is synthesized using homomorphic filter.

模拟光栅衍射,不同入射角度，得到级次的衍射光场(simulation grating diffracton)

利用matlab进行心电信号采集和分析相关(Using matlab to acquire and analyse ECG.)

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)