optimization-matlab

In recent years a substantial increase in the development of broadband wireless access technologies for evolving wireless Internet services and improved cellular systems has been observed [1]. Because of them, it is widely foreseen that in the future an enormous rise in traffic will be experienced for mobile and personal communications systems [2]. This is due to both an increased number of users and introduction of new high bit rate data services. This trend is observed for second-generation systems, and it will most certainly continue for third-generation systems. The rise in traffic will put a demand on both manufacturers and operators to provide sufficient capacity in the networks [3]. This becomes amajor challenging problem for the service providers to solve, since there exist certain negative factors in the radiation environment contributing to the limit in capacity

BP神经网络用于函数拟合与模式识别，电力系统暂态稳定程序，可以进行暂态稳定计算,包括回归分析和概率统计。( BP neural network function fitting and pattern recognition, Power System Transient Stability Program, can be transient stability, Including regression analysis and probability and statistics.)

说明：  经典粒子滤波程序，对于初学者有帮助！程序完整有效！(Classic particle program, it is useful for the beginners! Procedures is completed and effective!)

移动无线信道COS207模型MATLAB程序，对做信道仿真的朋友有参考价值(Mobile radio channel model MATLAB COS207 procedures, channel simulation of a friend doing a valuable reference)

一些MATLAB SVM的论文资料，希望可以对大家有用(very good)

sift匹配程序在matlab环境下的实现，包括特征提取与匹配(the sift match program realization in Matlab environment, including feature extraction and matching)

说明：  改进的HS算法,使用3*3加权平均模板，可以提高光流计算精度。(Improved HS arithmetic )

采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。 具体包括互谱算法，信号的Gabor稀疏分解的详细代码(Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.)

我在网上找得人工免疫系统工具箱，希望对搞这方面研究的人有帮助(I find the Internet too artificial immune system toolbox, hope to engage in research in this area have helped)

无循环实现S变换，S变换在信号分析中十分有效，它的时空分辨率要高于小波变换，效率很高的程序(This code computes the Stockwell transform (S-Transform) of a one dimensional series without for loop, thereby making it computationally fast and simple. S-Transform was proposed in 1996. A nice tutorial on S-Transform can be found here: djj.ee.ntu.edu.tw/S_Transform.pdf‎ )