NRZspectrumandPMD

利用Matlab开发的蚁群聚类算法，实例仿真过，比较好。(Developed using Matlab ant colony clustering algorithm, simulation examples too, is better.)

用路径跟踪法求解不等式约束的凸二次规划，即沿着此路径(或邻域)可以逼近问题的最优解。(With the path tracking method for solving inequality constrained convex quadratic programming, that along this path (or neighborhood) can approximate the optimal solution of the problem.)

第二个：matlab 和C++联合用于SLSVM，另外一种风格的(the second file: matlab and c++ together for SVM)

说明：  BP神经网络，用作分类，可执行，数据通过模拟得到，可采用自己的数据(BP neural network, used for classification, executable)

实现QPSK调制,很好的显示了调制后的波形，且可通过改变相应参数来变换图形(Realize QPSK modulation, good show the modulated waveform, and by changing the corresponding parameter to transform graphics)

matlab仿真的，pid联合动态矩阵控制算法，希望对大家有所帮助(Matlab simulation, pid and dynamic matrix control algorithm, we hope to help.)

幅相误差下的doa估计，本人编写，绝对可用(Amplitude and phase error estimates under the doa, I write, absolutely free)

本书系统地介绍了生物医学数据分析的相关基础知识和主要的分析方法，并通过 MATLAB 对大量的 生物医学数据分析的实例进行实现。全书共分为 7 章：第 1 章绪论；第 2 章 MATLAB 应用基础；第 3 章 医用数学基础及其 MATLAB 实现；第 4 章多变量分析；第 5 章时间序列分析；第 6 章生物信息学基础； 第 7 章生物医学数据的检索方法。 (This book introduces the relevant basic knowledge and analysis of biomedical data analysis, and analysis of biomedical data through MATLAB instance implemented. The book is divided into seven chapters: Chapter 1 Introduction Chapter 2 based on MATLAB applications Chapter 3 Medical mathematical foundation and its MATLAB implementation Chapter 4 multivariate analysis Chapter 5, time series analysis Chapter 6 bioinformatics Chapter 7 of the foundation biomedical data retrieval methods.)

take a input vector which is no of users of b[kx1] and code vector which will be a matrix now s=[Nxk],where then give to matched filter,non-correlating detector, by randomised sequence.

用matlab语言编写的灰色理论预测程序，简单实用，欢迎下载！(grey model)