channel

用Matlab编写的功率谱估计，输入数据是100年太阳黑子活动记录，用周期图法、最大熵值估计（AR法及Burg法），画出信号功率谱进而算出太阳黑子活动周期。(Matlab prepared using power spectrum estimation, input data is 100-year record of sunspot activity, using periodogram method, the estimated value of maximum entropy (AR Law and Burg method), draw the signal power spectrum and then calculate the sunspot activity cycle.)

说明：  本代码利用matlab工具，对OFDM系统的调制与解调原理进行仿真。(The code using matlab tools, the OFDM modulation and demodulation system simulation.)

高等光学仿真源程序，有助于了解光纤光学，主要是光在光纤中传播的模式分布(Higher optical simulation program to help understand fiber optics, light propagation in the fiber mode distribution)

基于滞环控制的单相并网逆变器仿真，可以学习一下(Based hysteresis control of single-phase grid-connected inverter simulation, you can learn about)

一个用来计算一维光子晶体构成的波导通路的场传播(Used to calculate a one-dimensional photonic crystal waveguide consisting of field propagation path)

helps to find the maximum entropy value to be optimised using PSO. Produces good results than ostu method

压缩包里面有四个程序：在matlab中对图像进行过滤操作和频率操作，和函数的变换(Compressed inside four programs: the transformation of image filtering operation and the frequency of operation, and function in matlab)

最新的matpower工具箱，可用于各种用于潮流计算和最优潮流的计算，包括连续潮流和最优潮流(The latest matpower toolbox can be used for a variety of flow calculation and optimal power flow for the calculation, including the continuation power flow and optimal power flow)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

visual c++ FOR EMBEDDED SYSTEMS AND FOR REAL TIME APPLICATIONS