powell

TDOA code for position location

最优状态估计与系统辨识,讲述了如何进行参数辨识。(Optimal state estimation and system identification, described how the parameter identification.)

蚁群混合算法源代码 采用MATLAB，必要的说明和注释(Hybrid ant colony algorithm source code using MATLAB, the necessary instructions and notes)

了解快捷编程过程、技巧、方法和避免不必要的 Bug。(Understanding of the process of fast programming, techniques, methods, and to avoid unnecessary Bug.)

这是一个脑电信号分析的matlab工具箱软件EEGLAB的中文操作手册，或许给英文不太好的同学们带来便利，希望对大家有用！(This is an EEG analysis matlab toolbox software EEGLAB of Chinese operating manual, maybe English is not good for the students to bring convenience, we want to be useful!)

对OFDM系统进行自适应分配，主要对子载波，比特和功率进行分配，已达到降低发射端功率的目标。(Adaptive Allocation for OFDM systems, the main pair carrier, bit, and power distribution, has reached the goal of reducing the transmitter power.)

主程序为随机共振，包含四阶龙格库塔和信噪比子程序(main is stochstic resonance,including runge-kutta and SNR.)

压缩感知 DOA 重构算法OMP matlab程序(And compressed sensing DOA reconstruction algorithm OMP Matlab program)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，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。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，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。 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”，调用最小错误率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，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different 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 third step is to 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 . Call the minimum error rate decision Functions Bayesian)

说明：  流场的本征正交分解，降阶，数据分析，提取流场中的主要流动结构(Proper Orthogonal Decomposition)