VFIT

digital signal processing examples

基于图像预处理的DCT数字水印算法及其MATLAB实现,作者：QQ 64134703 ，电子毕业设计，欢迎咨询 (DCT-based image preprocessing for digital watermarking algorithm and MATLAB implementation of: QQ 64134703, e-graduate design, please consult)

An implementation of Convolutional coding and Viterbi decoding with step by step

have some details about MAP

卡尔曼滤波方法解决雷达数据融合问题，本程序针对同步融合。还附有红外数据融合(Asynchronism_Radar.Asynchronism_IR.)

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 )

西电廖桂生老师的阵列信号处理讲义，适合阵列信号方向研究者入门时阅览。(Array signal processing lectures West, Liao Gui-sheng teacher, researcher for entry when reading array signal direction.)

最小二乘ESPRIT (LS-ESPRIT)的Matlab实现与相关性能分析，直接由特征值确定DOA，大大减少了计算量；不需要精确知道阵列流型向量，对阵列校准要求不严格。(analysis and performance to LS-ESPRIT achieved by the Matlab, DOA value is determined directly by the characteristics, greatly reducing the amount of calculation do not need to know the exact array manifold vectors, not strictly on array calibration requirements.)

PV cell simulation in Matlab

水平场地和倾斜场地挖填土方量计算MATLAB示例代码(Horizontal cut and fill venues and venues tilt earthwork calculations MATLAB sample code)