ArtifieialFishSwarmAlgorithm

对BPSK的调制与解调进行了详细的MATLAB仿真，详细，简单，易懂(BPSK modulation and demodulation of a detailed MATLAB simulation, detailed, simple, understandable)

利用时域数据计算数组的RMS值，利用时域数据计算冲击功率谱密度的试验包络条件。(An array of time-domain data using the RMS value of the time-domain data using the power spectral density of the impact test conditions envelope.)

PCA/LDA/LPP/TensorLPP/代码。 LPP是目前一种比较重要的子空间算法。基于Tensor的子空间算法，是传统PCA/LDA算法的进一步推广，具有重要意义。(PCA/LDA/LO/TensorLPP/code. Alignment is a more important subspace algorithm. Based on the Tensor subspace algorithm, is a traditional PCA/LDA further promote algorithm is of great significance.)

Attached file contains matlab code for the ghaph based segmentation

进行各种图形变换，很有用的程序。图象处理程序，包括对比度拉伸，傅立叶变换，离散余弦变换，维纳滤波等等。 (It s the function for DIP. Image processing involves changing the nature of an image in order to either 1.improve its pictorial information for human interpretation, or 2.render it more suitable for autonomous machine perception. )

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 )

说明：  多个代码用作核密度估计器来计算log pdf 可以很容易地使用 学习目的(Multiple codes to be used as kernel density estimator to compute log pdf Can be used very easily Learning purpose)

光流计算得到运动场。使用算法为Lucas Kanade算法 很好用，大家(Optical flow calculated by the Sports Ground. The use of algorithms for the Lucas Kanade algorithm good use, U.S.)

Barker coded signal for radar signal

it contains matlab code for ofdm systems it is .m file extension