fourteen_ZHUKANG

lms source code for adaptive filtering the acoustic noise.

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 )

基于matlab的简单手势识别，可识别剪刀石头布。(Simple gesture recognition based on MATLAB)

这个MATLAB例程是系统误码率变化仿真(The MATLAB routine changes in the system simulation of bit error rate)

用MATLAB软件编程实现一般信道容量迭代算法。(Programming with MATLAB software, the channel capacity of a general iterative algorithm.)

jMatlLink conected between java and matlab

这是一个多维的容积卡尔曼滤波（CKF）程序，编程语言为Matlab，请将该函数添加到你的仿真实例，直接调用函数即可。(This is a multi-dimensional cubature Kalman filter (CKF) program, the programming language is Matlab. Please add the function to your simulation example, you can call the function directly.)

这是第二能量熵的matlab代码，MIMO OFDM matlab仿真,使用高阶累积量对MPSK信号进行调制识别。( This is the second energy entropy matlab code, MIMO OFDM matlab simulation, Using high-order cumulants of MPSK signal modulation recognition.)

Matlab源程序求任意两点间的最短距离(Matlab source code for any of the shortest distance between two points)

模型参考自适应控制的MIT方法。输入为一单位阶跃信号，自适应律为积分适应律。(MIT model reference adaptive control method. Input is a unit step signal, adaptive law is an integral adaptation law.)