gcircle

说明：  很好的扩张滤波算法 精度高 时间短 适合导航运算(The expansion of good short time filtering algorithm for high precision navigation operations)

提高MAtlab编程技巧 书中主要以实例形式进行介绍，简便易学，是一本不可多得的好书(Improve you matlab skill: Many of the examples in the fi rst half of the book are not idiomatic MAT- LAB. I address this problem in the second half by translating the examples into a more standard style.)

此例程为配套书籍的第六章例题6-5的相对应代码，功能为计算非平稳随机信号的WVD时频谱，编程环境为matlab。(This routine matching books Chapter Example 6-5 corresponding to the code for the calculation of the non-stationary random signal WVD spectrum programming environment for matlab.)

计算地震波的震中距和走时的的子程序，非常好用的子程序(Subroutine to calculate seismic epicentral distance and travel time, and very easy to use subroutines)

脉冲反褶积时期望输出零延迟的尖脉冲的最小平方反褶积方法(Output zero latency spikes least squares deconvolution method expects pulse deconvolution)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

ac motor sensorless speed control with matlab program according to article nnnnn mmm akkkkkkkkkkkkkkkkkkkkkkkkkkk nnnnnnnnn jjjjjjjjjjjjjjjjjj bbbbbbbb

geodesic distance of DTMRI

可以根据不同需要，生成各级路面的空间路面谱(According to different needs, generate a spectrum at all levels of road space road)

使用matlab 感知器工具箱函数newp编写单层感知器文件，模式识别作业(Use the matlab perception toolbox function newp the preparation of single-layer perceptron file, pattern recognition operations)