factorg

通信中关键技术的matlab解决程序,适合通信专业的工程技术人员与大专院校学生.(Matlab key communications technologies settlement procedures for communication of professional engineers and college students.)

多为函数极小化程序 可以用来测试PSO优化函数(mostly function minimization procedures can be used to optimize the function tests PSO)

QAM16调制的实现 matlab源程序源源码 星座图的输出与结果都正确 可直接使用。 (Matlab source source source constellation of QAM16 modulation output results are correct can be used directly.)

Its a project that embed and detect watermarked image by using Discrete Fourier Transform.

matlab教程，通过自己学课掌握主要的工能，希望对自学这有帮助(matlab tutorials, lessons learned through their own work to master the main hope for this self-help)

维纳滤波器，可以实现fir滤波和wiener滤波显示滤波结果(wiener filter)

基于MATLAB的数值分析例程，其中给出各种常用数值方法的MATLAT例程，希望对各位有用(MATLAB-based numerical analysis routines, which gives a variety of commonly used numerical methods MATLAT routine, you want to be useful)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

FSK信号的产生，该信号在通信领域有着十分重要的意义！(FSK signal generation, the signal in the communications field has great significance!)

自动控制原理实验指导书，适用于自控课程的实验研究，包括多个经典实验及其实验结果。(Automatic control theory guide books, suitable for controlled experimental study courses, including a number of classic experiments and their results.)