FBMC_OQAM-system

一个很详细的压缩编码，基于MATLAB语言编写的，确实很实用。(A very detailed coding, based on the MATLAB language, is indeed very practical.)

说明：  脉冲体制下的相控阵雷达测角精度以及测距精度程序(Pulse under the system of phased array radar angle measurement accuracy and precision of procedures ranging)

shearlet lab toolbox,shearlet的matlaB工具箱，这个是1.1版本的(shearlet lab toolbox, shearlet of matlaB toolbox, this is version 1.1)

说明：  随机共振的小程序，包含龙格库塔算法，非自适应，基本程序(Small program of stochastic resonance)

本程序是先用EjLnRw小波变换对人脸图像处理，然后在用ToZCZWm进行降维，最后用ToZCZWm分类器进行多分类分类识别。matlab程序实现，调试没有错误。 (This procedure is to use wavelet transformEjLnRw face image processing, and then use ToZCZWm dimensionality reduction, and finally multi Classification for identification ToZCZWm classifier. matlab program implements debugging without error. )

三维地图，用于计算地形遮蔽等计算时的DEM数据(The 3D map is used to calculate the DEM data in the calculation of topography and occlusion)

利用自然梯度算法，ML法能够很好的估计信号的信噪比,考虑雨衰 阴影 和多径影响。( Use of natural gradient algorithm, ML estimation method can be a good signal to noise ratio, Consider shadow rain attenuation and multipath effect.)

说明：  The source code of DE algorithms

说明：  本程序为EMD（经验模态分解算法）用于MATLAB的M文件，内含EMD分解所需的三次样条插值算法(This procedure for the EMD (empirical mode decomposition) for the MATLAB M-files containing the required EMD decomposition of cubic spline interpolation algorithm)

人工鱼群算法，在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食!聚群及追尾行为,从而实现寻优，以下是鱼的几种典型行为:(1)觅食行为:一般情况下鱼在水中随机地自由游动,当发现食物时,则会向食物逐渐增多的方向快速游去。(2)聚群行为:鱼在游动过程中为了保证自身的生存和躲避危害会自然地聚集成群，鱼聚群时所遵守的规则有三条:分隔规则:尽量避免与临近伙伴过于拥挤 对准规则:尽量与临近伙伴的平均方向一致 内聚规则:尽量朝临近伙伴的中心移动。(3)追尾行为:当鱼群中的一条或几条鱼发现食物时,其临近的伙伴会尾随其快速到达食物点。特点：1)具有较快的收敛速度,可以用于解决有实时性要求的问题 2)对于一些精度要求不高的场合,可以用它快速的得到一个可行解 3)不需要问题的严格机理模型,甚至不需要问题的精确描述,这使得它的应用范围得以延伸.停止条件1) 判断连续多次所得的均方差小于语允许的误差2）判断某个区域的人工鱼群的数目达到某个比率3）联系多次所获取的值均不能超过已寻找的极值。 (Artificial fish swarm algorithm, in the midst of the waters, the fish tend to own or trailing other fish to find places with more nutrients and thus the largest number of fish survival in general is a place where most of the nutrients in the waters, artificial fish swarm algorithm is based on thisa characteristics, by constructing artificial fish to mimic fish foraging clusters and rear-end behavior, in order to achieve optimization, several typical behavior of the fish: (1) foraging behavior: the general case of fish in the water at randomthe free-swimming, swimming quickly when food is found, then the food is gradually increasing in the direction. (2) cluster behavior: the fish swimming in the process of naturally clustered, and abide by the rules when the fish cluster there are three: separate rule: try to avoid overcrowding with neighboring partners in order to ensure their own survival and to avoid harm alignment rules: as far as possible consistent with the mean direction of the)