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通过自己学编制的节约里程法matlab程序，已通过实例验证，可行(Compiled by yourself to learn matlab procedures, save mileage law already through examples and feasible)

复杂网络中的matlab复杂网络中的matlab复杂网络中的matlab(Complex networks matlab)

说明：  模型是在模糊集合理论和概率理论进行交叉渗透的基础上构造的特定算法，即云发生器，进行定性概念和定量表示之间的不确定转换，它揭示随机性和模糊性的内在关联性。在此利用实例解释云模型的应用。(Model is based on a specific algorithm of fuzzy set theory and probability theory on cross-permeable structure, namely cloud generator, be uncertain conversion between qualitative concept and quantitative representation, which reveals the inherent randomness and fuzziness relevance. In this application the use of examples to explain the cloud model.)

自适应的遗传算法以及MATLAB实现，拿去学习吧(Standard genetic algorithms and MATLAB implementations)

说明：  此为对于均匀阵列的MUSIC算法的源代码，希望对大家有用(this a uniform array for the MUSIC algorithm source code, we want to help!)

一种基于调制域分析的过零检测算法改进，克服了传统过零算法不能应用于某些信号的局限，有MATLAB仿真(Zero-crossing detection algorithm based on improved modulation domain analysis, to overcome the traditional limitations of the zero crossing algorithm can not be applied to certain signals, there are MATLAB simulation)

混沌系统分析matlab仿真，适当修改可适用一般系统(Chaotic systems analysis matlab simulation, with appropriate modifications applicable general system)

卷积编译码的matlab仿真，包括1/2,2/3 3/4三种信道卷积编译码(Matlab simulation of convolutional encoding and decoding, including 1/2, 2/3 3/4 convolutional encoding and decoding three-channel)

出自岗厦雷斯的数字图像处理书籍，用于图像纹理特征提取。(From juarez Gangxia the digital image processing books for the image texture feature extraction.)

Wigner-Ville 分布(简称 WVD)是典型的二次型变换，它定义为信号瞬时相关函数的傅立 叶变换。 由于在计算中不加窗操作，它避免了时域分辨率和频域分辨率之间的相互牵制。 已证明，对于单分量线性调频信号，WVD 的时频表示能量集中性最优。但也正因为不涉 及窗函数，在分析多分量信号时 WVD 会受到交叉项的干扰。(The Wigner-Ville distribution (WVD) is a typical quadratic transformation, which is defined as the Fourier of the instantaneous correlation function of a signal. Ye Bianhuan. Because of no window operation in the calculation, it avoids the mutual restraint between time domain resolution and frequency domain resolution. It has been proved that for the single component LFM signal, the WVD time frequency representation has the best energy concentration. But it is also because it does not involve. And window functions, when WVD is used to analyze multi-component signals, it will be interfered by cross terms.)