MATLAB-for-truss

车牌识别图片,是利用图像复原的效果图。图像复原的效果图(License Plate Recognition pictures, the effect of the use of image restoration plan. The effect of image restoration plan)

matlab遗传算法几个程序代码，大概有5个左右(Several genetic algorithm matlab code, probably about 5)

拟合椭圆的matlab代码，对给出的至少5个点的数据进行最小二乘拟合。(Elliptical fitting matlab code, at least for the given five-point least-squares fitting of data.)

一种加权支持向量机的算法，主要描述一种加权支持相机的数学描述，参看此文可以更深入理解加权支持向量机(Fast Weighted SVM training Algorithm)

研究生毕业论文中的一部分MATLAB源代码，实现压缩卡尔曼滤波算法，包含了仿真结果。(Graduate thesis part of the MATLAB source code, to achieve compression Kalman filter algorithm, including the simulation results.)

直接扩频捕获Xfast算法仿真(包含可调SNR信息码产生)(dsss acquisition(XFAST))

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 )

Viterbi Algorithm & Viterbi Decoder Matlab Code.(Provided both soft & hard decision ability). Note: The main function is viterbi.m

MIMO OFDM based codings for their resource allocation.

matlab编写的视频监控采集和目标提示软件，请批评指正！！！(matlab prepared video surveillance and target acquisition software tips, please criticism! ! !)