ofdm

社团划分，是复杂网5络中的一个重要课题。如何划分，又不同的标准。(Divided societies, is a complex network 5 network in an important topic. How to divide, but also different standards.)

这是一个基于卡尔曼滤波的GPS跟踪微弱信号的文章！(This is a Kalman filter-based weak signal tracking GPS article!)

一篇很好的介绍11n物理层技术的文章，建议做相关工作的可以看看(ieee_circuits_systems wireless LAN Comes of Age Understanding the IEEE 802.11n Amendment)

瞬时盲源分离代码，带有数据，可以直接运行，适合初学者！(Instant Blind Source Separation Code, with data that can be run directly for beginners!)

说明：  选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)

说明：  Hu不变矩基础实现，七个不变矩，仅计算不变矩，未计算相似度(Hu imdidndaidndansjncisancicn)

旋转机械二维全息谱计算，是国外的成品模型，线性调频脉冲压缩的Matlab程序。( Rotating machinery 2-d holographic spectrum calculation, Foreign model is finished, LFM pulse compression of the Matlab program.)

这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离； back-tracking程序是“回溯”法画出最佳路径的代价网格； Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯 折。(This is a pattern recognition template matching the content of Matlab routines, which edit_distance procedures used to calculate the two symbols of the edit distance between strings back-tracking program is " back" method to draw the best path cost grid Dtw- Sakoe.m program is a Sakoe-Chiba local path constraint of the dynamic time warping.)

名称：带交叉因子的改进PSO算法功能：求解多维无约束优化问题特点：收敛性强，还可以加入变异算子(Name: Improved PSO algorithm with cross-factor: Solving multidimensional unconstrained optimization problem characteristics: strong convergence can also join the mutation operator)

用LMSE方法验证两类的可分性，介绍了LMSE算法(LMSE method validation can be divided into two categories , the LMSE algorithm )