FHT

国外编写的一个QPSK仿真程序，给出了调制解调及误码分析(Foreign QPSK simulation program written in a given modulation and demodulation and error analysis)

信号检测理论上机实验MATLAB源码,关于一阶预测器的设计(Signal detection theory, experiment MATLAB source code, on the first-order predictor design)

说明：  基于MATLAB的混合型蚁群算法求解旅行商问题.pdf(MATLAB-based hybrid ant colony algorithm for solving traveling salesman problem. Pdf)

Microsoft Windows 2008 - The Complete Reference. Reference manual from the basics.

Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a convex problem (which can be formulated as an SOCP): ( where H is the frequency response function and our variable is the filter impulse response h. Function G is the unequalized frequency response and G_des is the desired freq response. Time-domain equalization immediately designs the impulse response function by specifying the problem in time (it s an LP): minimize max_{t neq D} |g_tilde(t)| s.t. g_tilde(D) = 1 )

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with Alamouti Space Time Block Coding Two transmit antenna, 1 Receive antenna

说明：  MATLAB 最新的时频分析工具箱1，里面包含大量的MATLAB时频分析函数(The latest MATLAB toolbox 1 time-frequency analysis, which contains a large number of time-frequency analysis of the MATLAB function)

本文介绍了几个常见的混沌系统，利用matlab 编程研究控制与同步(matlab simulink of chaotic systems)