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说明：  高等通信原理16_QAM symbol sequence of 2000 symbols and plot the constellation(Advanced Communication Theory 16_QAM symbol sequence of 2,000 symbols and plot the constellation)

是国外的成品模型，esprit算法对有干扰的信号频率进行估计,包含收发两个客户端的链路级通信程序。( Foreign model is finished, esprit algorithm signal frequency interference can be assessed Contains two clients receive link-level communications program.)

交互界面，检测图像中的直线，并计算交点、直线角度、长度、端点位置(Interaction interface, detects the straight line in the image, and calculates the intersection point, the straight line angle, the length and the end point position.)

关于kl变换在matlab上的实现，做人脸识别可以用到。(KL transform, matlab realize)

基于matlab的数字滤波器设计的文献大全(Matlab digital filter design based literature Daquan)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

说明：  这是一个基于人脸识别的双边2DLDA程序，其中每人随机选9个做训练，1个做测试，作20次后平均(This is a bilateral 2DLDA procedures based on face recognition, in which each of 9 randomly selected for training, one to do testing for 20 times the average)

用matlab编写的自适应遗传算法，交叉概率和变异概率能够自动随适应度而改变，因此能够提供相对某个最优解的最佳交叉概率和变异概率(Using matlab adaptive genetic algorithm, the crossover and mutation probability with the fitness change, and therefore able to provide relatively a optimal solution best crossover probability and mutation probability)

一些我在写毕业论文中用到的关于混沌的相关论文，都是一些有档次的，对我的论文很有帮助(Something I used in writing the thesis on the chaos of the relevant papers, are some upscale, very helpful for my thesis)

MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999 ％needs optimization toolbox ％Modified by Bruce Land ％--Data via globals to anaylsis programs ％--3D plotting with color coded groups ％--Mapping of MDS space to spike train temporal profiles as described in ％Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in ％press J. Neurophysiology(MULTIDIMENSIONAL SCALING in Matlab by Mar 1999% k Steyvers needs optimization toolbox% M odified by Bruce Land%-- Data via globals to ana ylsis programs%-- 3D plotting with color coded groups%-- Mapping of MDS space to spike train te mporal profiles as described in% Aronov, et.al. "Neural coding of spatial phase in V1 of t he Macaque "in press J. Neurophysiology%)