daima

distortion cancellation

用matlab采用双尺度方程求解小波基函数的方法 构造小波基(wavelet_function)

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)

SOR法求解病态线性方程组的MATLAB源代码(SOR method for solving ill-conditioned linear equations MATLAB source code)

Hilbert-Huang Transform的完整源码(Hilbert-Huang Transform complete source)

这是一个接收机中的定时同步程序，可供设计接收端的同学进行参考(This is the timing code of the OFDM receiver.)

无约束蚁群算法，非常好用，大家一起学习！多多交流(Ant colony algorithm for unconstrained, very easy to use, we will study together! More exchanges)

地震资料数据处理中所需的低通、高通、带通以及梯形滤波器，对信号在频率域进行相应处理(Seismic data, data processing required in the low-pass, high pass, band-pass ladder filters, signal in the frequency domain )

这个文章系统详细的介绍了 非线性模型的一种确定P的阶数的方法(This article describes in detail the system as a nonlinear model to determine the order of method P)

用mfcc函数实现语音信号的特征提取，对提取数据进行分析 模式识别的一道例题(With MFCC function realization of speech signals to extract feature extraction and analysis of the data and pattern recognition of a sample )