1DSASE

这是一个标准的三百节点IEEE-30测试系统数据(This is a standard IEEE-30 300-node test system data)

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)

VBLAST的基于QR的检测算法的误比特曲线。(VBLAST QR detection)

matlab实现音乐通用特征提取并进行音乐检索，共实现40种特征提取。(MIRtoolbox proposes a large set of musical feature extractors.MIRtoolbox includes around 40 audio and music features extractors and statistical descriptors.)

基于OFDM 调制解调传输的通信系统，MATLAB，SIMULINK(OFDM-based communication system modem transmission, MATLAB, SIMULINK)

codigo golden programa

HNM document to perform harmonics in noise

说明：  信道均衡的仿真，预置式均衡滤波器，通过均衡看均衡前后的误码率(Simulation of channel equalization, preset EQ filter, through a balanced look at the bit error rate before and after equilibrium)

《MATLAB神经网络30个案例分析》中的第一个例子，案例1 BP神经网络的数据分类-语音特征信号分类。希望对大家有用！ (" MATLAB neural network 30 case studies" in the first example, case 1 BP neural network data classification- speech feature signal classification. I hope useful!)

模糊自整定PID控制器设计。 本资料含有详细的PID控制器算法M文件、Simulink模型搭建、模糊控制器设计以及相应的技术文档分析。相信对您一定很有帮助(Fuzzy self-tuning PID controller design. This information contains details of the PID controller algorithm M files, Simulink models to build, fuzzy controller design and analysis of relevant technical documentation. I believe you must be helpful)