Actac

声纳技术 常用水声信号及其处理方法 内容 CW信号(Commonly used in underwater acoustic signal processing method)

十折交叉验证算法的代码，我用的比较简单，希望大家能够喜欢(Ten-fold cross-validation algorithm code, I use relatively simple, hope that we can love)

一份matlab的ppt教程，给初学者，比较多面地介绍了matlab的基础(The ppt of a matlab tutorial for beginners, more multi-faceted introduction to the basis for matlab)

理论力学问题——大角度单摆的MATLAB模拟(Theory of mechanical problems- MATLAB simulation of large-angle pendulum)

本子程序包含5个子程序，其主要功能是： （1） 子程序CXCY（E，L，IE，JE）的功能 用于计算各单元的杆件的长度及在结构坐标系中的倾角α的三角函数cosα、sinα。 （2） 子程序ELEA（E，L，IE，JE，A）的功能 用于计算结构坐标系下各单元刚度矩阵中的刚度系数。 （3） 子程序TOTAL（E，LNODE，KE，KZ）的功能 用于形成半带宽的结构原始刚度矩阵。 （4） 子程序FIFX（NP，FXI，FXJ，FYI，FYJ，MMI，MMJ，WL，IE，JE）的功能 它是用来计算各单元的等效节点荷载。 （5） 子程序STIFF（E，KE）的功能 (Book program consists of five sub-programs, and its main functions are: (1) subroutine CXCY (E, L, IE, JE) function The unit used to calculate the length of the bar and in the structure coordinates of the angle α of the trigonometric functions cosα, sinα. (2) subroutine ELEA (E, L, IE, JE, A) function Coordinate system used to calculate the structure of the element stiffness matrix stiffness. (3) subroutine TOTAL (E, LNODE, KE, KZ) function Used to form the structure of semi-bandwidth of the original stiffness matrix. (4) subroutine FIFX (NP, FXI, FXJ, FYI, FYJ, MMI, MMJ, WL, IE, JE) function It is used to calculate the equivalent nodal load of each unit. (5) subroutine STIFF (E, KE) function )

说明：  用于灰色关联度的计算，计算子序列对母序列的关联程度，找出关键因素(Calculation of Grey Relevance Degree)

改进单纯形法寻优的MATLAB实现,提供源代码，对学习单纯形法有帮助。(Modified simplex method optimization MATLAB, providing the source code for learning the simplex method helpful.)

基于RSSI的质心算法，其中可以实现目标的定位。有用者请下载。(Based on RSSI centroid algorithm, which can achieve the target localization. Useful, please download.)

有源带通滤波器设计软件Filterlab中文使用参考资料(Active band-pass filter design software Filterlab Chinese use reference materials)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)