PID_PARTDIFF

Codes related in signal processing course and written in MATLAB. there are pdf files that explain the idea about codes. so there are more than 5 source codes.

matlab中simulink如何建模与仿真的详细教程(the matlab simulink how modeling simulation tutorial)

利用matlab编程，讲解了3D成像照相记得工作原理和基本实现方法。(Using matlab programming, on a 3D imaging camera recall the basic working principle and realization method.)

基于matlab的自相关序列产生.用到了分数阶高斯噪声和Hurst参数.(Based on the autocorrelation matlab generated sequence. Used a fractional Gaussian noise and Hurst parameter.)

adaptation par filtre fir

matlab下的神经网络的bp 的sin函数(matlab neural network under the bp of the sin function)

K-means聚类算法，用于文件、数据的聚类分析(K-means clustering algorithm for document clustering analysis of the data)

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 )

1. 识别同一个乐器弹奏出的不同音符（基波分析） 2. 识别弹奏出同一个音符的不同乐器（谐波分析）(1. identify the different notes played by the same instrument (fundamental analysis). 2. identify different musical instruments playing the same note (harmonic analysis).)

非常好的MATLAB教程，当你看完教程后你会发现MATLAB比其它开发语言要简单的多(MATLAB tutorial is very good, when you read the tutorial you will find MATLAB simpler than other development languages ​ ​ to)