Phase

基于matlab的UWB仿真，多种调制方式，多种多制方式。有原理图。(Matlab simulation of UWB-based, multi-modulation mode, a variety of multi-format. There are schematics.)

在MATLAB环境下对一个地震道集作道集图(In the MATLAB environment for a set of seismic gathers map)

matlab 到VC++的一些串口及其转换文件的说明，可以实现两者之间的混合编程(matlab to the VC++ serial port and convert some documents that can be achieved between the two hybrid programming)

matlab code for windmil turbin

MATLAB程序：框架结构的弹塑性分析（结构顶点位移）(nonlinear displacement of three story frame structure)

流形学习算法，程序中也包含了多种经典的模式识别算法,如MDS、PCA。(Manifold learning algorithm, the program also contains a variety of classical pattern recognition algorithms, such as MDS, PCA.)

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.)

施瓦茨变换，用于半无穷大平面的变换，matlab代码(Schwartz transform for the conversion of semi-infinite plane, matlab code)

LTSPACE的信号log文件读取 LTSPACE的信号log文件读取(LTSPACE signal read LTSPACE log file log file to read the signals)

说明：  FFT的使用，说明了在MATLAB中FFT函数的使用方法，(The use of FFT, shows the FFT function in MATLAB to use,)