<Work signals & systems with MATLAB>
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Only for note when learning SIGNAL & SYSTEM with MATLAB
1_Preparation for MATLAB
- Logic Operator
- Dot Multiply & Matrix Multiply
(Dot divide & Matrix divide ,the same)
eg:
A=[1 1 1;1 1 1];B=A; Dot=A.*B; %%Dot=[1 1 1;1 1 1] %% multiply the same position elements Mat=A*B; %%Matrix mutiply
- Some tips( important ):
dbstop if error %% db, stop if error exist
t=[-1:0.05:2]; u=(t>0); %%the definition of u(t)
%%x=sin(t)u(t),represent x1=x(t-0.5),x2=x(2t)x=sin(t).*u;x1tmp=[zeros(1,0.5/0.05),x];x1=x1tmp(1:length(x));x2=x(1:2:length(x));t2=t(1:2:length(x)); %%New definition of t for x2
- Character caculation
x=sin(2*pi*t).*heaciside(t) %%heaviside(t)=u(t)x1=subs(x,t,t-1);%% use 't-1' replace 't' in x%% so x1=x(t-1);
- Ordinary MATLAB command
help general;help elmat;help elfun;%%Fundamental command
2_LTI system
- Solution to Differential Equation
Solution to the H(s) ofd3r(t)dt3+7d2r(t)dt2+16dr(t)dt+12r(t)=e(t)
a=[1,7,16,12];b=[1];sys=tf(b,a);sys
3_Continuous-Time system analysis
- solve the differential equation’s homogeneous solution
Solve the homogeneous solution of
p=[1 7 16 12];a=roots(p);a%%Output:%%a =%% -3.0000 + 0.0000i%% -2.0000 + 0.0000i%% -2.0000 - 0.0000i%%Meaning:there is a two-fold root of the characteristic equation.It means the homogeneous solution is:%% rh(t)=(A1t+A2)e^-2t+A3e^-3t
- solve the particular root of the diffenrential equation
d2r(t)dt2+2dr(t)dt+3r(t)=de(t)dt+e(t)
solve:1-e(t)=t2 ; 2-e(t)=et
a=[1,2,3];b=[1,1];sys=tf(b,a);t=[0:0.01:10]'; %Control the accuracye1=t.^2; %define e1(t)r1=lsim(sys,e1,t);e2=exp(t); %define e2(t)r2=lsim(sys,e2,t);
4_Fourier Transfer
- Use Matrix to complete Fourier Transfer
%%3 methods for Fourier Transfer%%Try to use matrix!!!clc;clear;close all;T=2;N=200;t=[-1:T/N:1-T/N]';f=0*t;f(t>-1/2&t<1/2)=1;W=16*pi;K=200;w=[-8*pi:W/K:8*pi-W/K]';% F=0*w;U=exp(-j*kron(w,t.')); %%Equal to w*t.'%U=exp(-j*(w*j.'));F=T/N*U*f;V=exp(j*kron(t,w.')); %%Equal to t*w.'fs=W/(2*pi*K)*V*F;% for k=1:K% %for n=1:N% F(k)=T/N*exp(-j*w(k)*t)*f';% %F(k)=F(k)+T/N*f(n)*exp(-j*w(k)*t(n));% %end% end% fs=0*t;% for n=1:N% %for k=1:K% fs(n)=W/(2*pi*K)*exp(j*w*t(n))*F';% %fs(n)=fs(n)+W/(2*pi*K)*F(k)*exp(j*w(k)*t(n));% % end% endfigure;plot(t,f,'-k',t,fs,':k');figure;plot(w,F,'-k');
- Fourier series of Square Signal(Example)
% Fourier series of Square Signalclc;clear;close all;E=1;T1=1;omg1=2*pi/T1;N=1000;t=linspace(-T1/2,T1/2-T1/N,N)';f=0*t;f(:)=-E/2;f(t>-T1/4&t<T1/4)=E/2;k1=-10;k2=10;k=[k1:k2]';F=1/N*exp(-j*kron(k*omg1,t.'))*f;a0=F(11);ak=F(12:21)+F(10:-1:1);%fs=cos(kron(t,[0:5]*omg1))*[a0;ak(1:5)];f1=cos(kron(t,[0:1]*omg1))*[a0;ak(1:1)];f2=cos(kron(t,[0:2]*omg1))*[a0;ak(1:2)];f3=cos(kron(t,[0:3]*omg1))*[a0;ak(1:3)];f4=cos(kron(t,[0:4]*omg1))*[a0;ak(1:4)];f5=cos(kron(t,[0:5]*omg1))*[a0;ak(1:5)];f6=cos(kron(t,[0:6]*omg1))*[a0;ak(1:6)];f7=cos(kron(t,[0:7]*omg1))*[a0;ak(1:7)];f8=cos(kron(t,[0:8]*omg1))*[a0;ak(1:8)];f9=cos(kron(t,[0:9]*omg1))*[a0;ak(1:9)];plot(t,f,'-k',t,f1,':b',t,f2,':r');hold on,plot(t,f3,':g',t,f4,':m',t,f5,':c');hold on,plot(t,f6,':g',t,f7,':m',t,f8,':c');hold on,plot(t,f9,':y');
5_Laplace Transfer
- Laplace
Example1:
solve the Laplace transfer & iLaplace transfer of
%%examplesyms t;F=laplace(t^3)syms s;f=ilaplace(10*(s+2)*(s+5)/(s*(s+1)*(s+3))%%Result:%%F=6/s^4%%f=-10/3*exp(-3*t)-20*exp(-t)+100/3
The result:
Example2:
use ‘residue’ to solve the ‘iLaplace transfer’
solve the iLaplace of
b=[1,5,9,7];a1=[1,1];a2=[1,2];a=conv(a1,a2) %%calculate the coefficient of the %%denominator[r,p,k]=residue(b,a);%%The result:%%r= -1 2%%p=-2 -1%%k=1 2
Result:
Next,the iLaplace transfer:
- zero point&pole point
%% the change of H(s) varying with the change of the pole pointst=[0:0.1:40]';figure,id=1;for omega=0.5:-0.25:0 for sigma=-0.06:0.03:0.06 p=sigma+j*omega; if omega~=0 p=[p;p']; end [b,a]=zp2tf([],p,1); subplot(3,5,id); impulse(b,a,t); set(gca,'Ylim',[-20,20]); id=id+1; endend
the graph is the impulse response with the change of the pole
point.(the direction is the same as the x-y coordinate system)
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