Axing

说明：  加性高斯白噪声下，FQPSK调制的常规OQPSK检测(awgn channel, convention OQPSK demodulationfor FQPSK modulationfor)

Intel Architecture Software Developer s Manual(Intel Architecture Software Developer's M Profile)

trust_region求解约束优化问题 This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust region( This trust region algorithm incorporates bound constraintstogether with an ellipsoidal trust region)

该文档包括：基于复杂网络的MATLAB实现论文和对应的代码。(The documentation includes: paper and the corresponding code based on MATLAB complex networks.)

用于提高多维时间序列处理效率的自底向上分段法(Used to improve the processing efficiency of multidimensional time series segmentation bottom-up method)

Matlab实现绘制任意自由曲线，实现Photoshop中的钢笔路径功能，用光顺连接的B样条/贝塞尔曲线实现，鼠标点击生成控制点，拖动形成任意曲线。可描绘多路径，也可旋转、平移、缩放。经调试可用。(Matlab achieve rendering arbitrary free curve, realize the pen path function in Photoshop, with the light of the B spline/Bessel curve, the mouse click to generate control points, drag to form any curve. Can depict many paths, but also can rotate, translation, scaling. Debug available.)

knn—k近邻准则matlab实现，适合初学者(knn-k neighbors to achieve the criteria matlab)

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

Digital clock simulation in Matlab

全面学习matlab的ppt基础教程，入门必备(The basis of a comprehensive study of the matlab ppt tutorial, beginners must)