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线性调频（LFM）脉冲压缩雷达仿真，有具体的方法和实现步骤，包括仿真结果。(Linear frequency modulation (LFM) pulse compression radar simulation, there are specific methods and implementation steps, including the simulation results.)

BMP TRANSPARENCIA DE FIGURA

说明：  改进量子粒子群算法，用于优化支持向量机参数，用IRIS数据验证(An improved quantum particle swarm optimization (QPSO) algorithm is used to optimize the parameters of support vector machine (SVM), which is validated by IRIS data.)

 通过建立模型的消声室，输出声功率频谱，从谱中找到峰值频率点，确定了对辐射噪声贡献较大的频率。然后对应那些频率点，看那些部件的振速比较大，可以通过加筋等方法，来改善。这个过程还可以通过面板贡献量分析来精确的仿真。具体方法是： 对一些比较大的面板结构，建立几个区域(面板集合), 然后计算对应峰值频率点的贡献量， 就可以比较精确的知道对应的频率点，具体那个部件的辐射噪声比较大。这样可以集中力量改进那些辐射噪声比较大的部件。

用matlab编写的关于流场测速的一个Demo,处理速度较快、匹配位置准确。(The URAPIV Toolbox contains a set of command-line functions to import, post-process and analyse 2D vector fields from LaVision s DaVis PIV (particle image velocimetry) software. It enables to handle and perform operations over large amount of velocity fields, and to produce high-quality vector/scalar outputs. )

说明：  通信系统的仿真,基于matlab的.m文件.详细给出了一种离散信道的源码!(communications system simulation, based on Matlab. M documents. Details are given a discrete channel source!)

几乎所有IEEE节点系统的MATLAB潮流程序(IEEE bus system almost all the current procedures for MATLAB)

Computes the modified hausdorff distance

This is a DoA estimation algorithm named BARTLETT.

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)