MLP-Multiplication

entropy matlab .m file

陈启中《linear system theory and design》线性系统经典书籍(Chen Qi <linear system theory and design> classic books of linear systems )

信号模型，可以对初学者有很大帮助。简单的运行，让你懂得搭建模型的基本原理。(The signal model, can be of great help for beginners. Simple operation, let you understand the basic principles of building model.)

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)

以下几个matlab程序对雷达常用的线性调频信号（lfm信号）进行脉冲压缩时的关键问题进行了仿真，其中包括旁瓣抑制影响（加窗与不加窗）、多卜勒频移影响，并对时域脉压与频域脉压结果进行了对比分析，供相关技术人员参考。(Matlab following procedures commonly used on the radar LFM signal (lfm signal) for pulse compression at the time of the key issues of simulation, including the impact of sidelobe suppression (plus a window with no window), the impact of Doppler frequency shift, time domain and frequency domain pulse pressure and pulse pressure results of comparative analysis of relevant technical personnel for reference.)

说明：  MATLAB s various matrix operators

采用广义特征值的方法对一般椭圆方程进行代数拟合求得一般椭圆方程的几何参数(Method using the generalized eigenvalue equation for general elliptic algebra obtained by fitting the geometric parameters of the general elliptic equation)

基于扩展卡尔曼滤波的多通道带乘性噪声系统状态的仿真程序，对初学者可能会有很大帮助(Simulation program for multi-channel with multiplicative noise of the system state)

全面学习matlab的ppt基础教程，入门必备(The basis of a comprehensive study of the matlab ppt tutorial, beginners must)

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)