Kalman

说明：  本文主要研究了，以京沪高速为背景以客车时间表为基础之上安排货车的模型。从车站的战略发展、资源利用、时间安排和资源策划等综合考虑，需要对客车的时间安排进行考虑。从而设计有效而可行的安排货车运行模型.(This paper studies, the background to the Beijing-Shanghai high-speed bus schedule to arrange for the vehicle based on the model. From the station' s strategic development, resource utilization, timing and resource planning, such as considering the need for Airbus to consider the timing. In order to design an effective and workable arrangements to run the model vehicle.)

从台湾清华大学的一个讲义，说的是中医学的发展，运用现代技术的，对大家有很大的启发作用。(A handout from the National Tsing Hua University, said that the development of Chinese medicine, the use of modern technology, a great inspiration to all of us the role.)

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)

说明：  基于密度峰值的快速聚类算法在matlab中的实现(Realization of fast clustering algorithm based on density peak in MATLAB)

matlab code by FEM for simulation the waveguide

完整惯性导航解算，能够输出惯导解算出的东北天向速度和横滚、俯仰及偏航角。(Complete inertial navigation solver, able to output the INS the solution calculated Northeast days to speed and roll, pitch and yaw angle.)

function dg=gplus(x,y,z,x1,x2,y1,y2,z1,z2,p) G=6.67e-11 t222=myfun(x,y,z,x2,y2,z2) t122=myfun(x,y,z,x1,y2,z2) t212=myfun(x,y,z,x2,y1,z2) t221=myfun(x,y,z,x2,y2,z1) t211=myfun(x,y,z,x2,y1,z1) t121=myfun(x,y,z,x1,y2,z1) t112=myfun(x,y,z,x1,y1,z2) t111=myfun(x,y,z,x1,y1,z1) dg=-G*p*1e6*(t222-t122-t212-t221+t211+t121+t112-t111) 转化为g.u. function y=myfun(x,y,z,xi,eta,zeta) R=sqrt((xi-x).^2+(eta-y).^2+(zeta-z).^2) temp1=(xi-x).*log((eta-y)+R) temp2=(eta-y).*log((xi-x)+R) temp3=(zeta-z).*atan((zeta-z).*R/((xi-x).*(eta-y))) 书中所给公式 temp3=-(zeta-z).*atan((xi-x).*(eta-y)./(zeta-z)./R) 上式变换 y=temp1+temp2+temp3 (function dg = gplus (x, y, z, x1, x2, y1, y2, z1, z2, p) G = 6.67e-11 t222 = myfun (x, y, z, x2, y2, z2) t122 = myfun (x, y, z, x1, y2, z2) t212 = myfun (x, y, z, x2, y1, z2) t221 = myfun (x, y, z, x2, y2, z1) t211 = myfun (x, y, z, x2, y1, z1) t121 = myfun (x, y, z, x1, y2, z1) t112 = myfun (x, y, z, x1, y1, z2) t111 = myfun (x, y, z, x1, y1, z1) dg =-G* p* 1e6* (t222-t122-t212-t221+t211+t121+t112-t111) converted the Gu function y = myfun, (x y, z, xi, eta, zeta) R = sqrt ((xi-x). ^ 2+ (eta-y). ^ 2+ (zeta-z). ^ 2) temp1 = (xi-x).* log ((eta-y)+R) temp2 = (eta-y).* log ((xi-x)+R) temp3 = (zeta-z).* atan ((zeta-z).* R/( (xi-x).* (eta-y))) book given formula Temp3 =- (Zeta-z)* ATAN ((Xi-X)* (ETA-y)/(Zeta- Z)/R) the above formula transform Y = temp1+temp2+temp3 )

2013 matlab basepaper

说明：  精通matlab gui-陈垚光的随书光盘，内有各章的源代码(Proficient in matlab gui-Chen Yao Light CD with the book, the chapters within the source code)

说明：  该算法为vmd算法 ，具有可确定的各个模态分量，可根据中心频率相近原则确定最佳阶说(the is vmd juyou ke queding de geg motao fenl kehenji)