LT_simBIAWGN

均匀平面阵方向图，m*n元，波束指向phi=0°，theta=90°(Uniform plane array pattern, m* n element, the beam points to phi = 0 °, theta = 90 °)

the aim of this to present different cover letters to help you realize - or improve - yours.

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：  当车辆通过时对车辆进行动态检测并用竖条线进行标记(When the vehicle passes through, the vehicle is dynamically detected and marked with vertical bar)

Matlab导出模拟波形用于CCS仿真，以.dat音频文件格式输出(Export Matlab simulation of analog waveform for the CCS to. dat audio file formats)

Multiple images on Matlab

改进的人工势场算法。对比传统的算法，对目标不可达问题进行了改进。(Improved artificial potential field algorithm. Compared with the traditional algorithm, the problem of target inaccessibility is improved.)

毕设内容，高光谱图像基本处理，匹配追踪和正交匹配追踪，采用偏最小二乘法。( Complete set content, basic hyperspectral image processing, Matching Pursuit and orthogonal matching pursuit, Partial least squares method.)

用不同插值方法对数据进行一维插值，通过结果不难看出，不同的插值方法导致不同的插值结果(One-dimensional interpolation data with different interpolation methods is not difficult to see through the results of different interpolation methods lead to different interpolation results)

adaptive median fillter