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利用周期图法对序列进行功率谱估计，数据窗采用汉明窗(Sequences using periodogram method for power spectrum estimation, the data window with Hamming window)

10 things you should know about MIMO

说明：  利用琼斯矩阵，模拟物理光学课程中电光效应实验全过程，可以直观的考察各个部件对实验结果的影响(Using Jones matrix, analog electro-optic effect in the physical optics course the whole process of experiment, the various components can be visual inspection of the experimental results)

说明：  基于AT89S51和CC1100射频识别阅读器的设计与研究(Based on AT89S51 and CC1100 radio frequency identification readers, Design and Research)

ksvd算法的代码，可以通过训练字典，从而实现对数据的稀疏表示。(ksvd algorithm code, through training dictionary in order to achieve the sparse representation of the data.)

The AeroSim blockset provides a complete set of tools for developing nonlinear 6-degree-of-freedom aircraft dynamic models. The Simulink blocks include the nonlinear equations of motion, linear aerodynamics based on component build-up, piston-engine propulsion, aircraft inertia model including weight variation due to fuel consumption, atmosphere models including standard atmosphere, wind gusts and von Karman turbulence, Earth models which provide Earth radius, gravity and magnetic field components at current aircraft location.

对于形心分析和算例,方便大家学习和使用.(For example centroid analysis and to facilitate them to learn and use.)

独立主成分分析与主成分分析代码，速度比较快，而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)

说明：  MATLAB图像处理源程序5：P0502：计算图像中的欧拉数(MATLAB image processing source code: P0502: calculated image of Euler number)

混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测(chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction)