Bài 1.1 x=-5:.1:5; Px=exp(-x.^2/2)/sqrt(2*pi); plot(x,Px); title('Phan bo xac suat Gauss'); xlabel('x'); ylabel('P(x)'); FIGURE:

Bài 1.2 len=100000;%Do dai qua trinh ngau nhien x=randn(1,len);%Tao qua trinh ngau nhien theo pp chuan step=.1;%step=0.1 k=-5:step:5;%Khoang xet tu -5 den 5, cach deu 0.1 px=hist(x,k)/len/step;%Ham phan bo xac suat stem(k,px); Px_lythuyet=exp(-k.^2/2)/sqrt(2*pi);%Ham phan bo xac suat ly thuyet hold on; plot(k,Px_lythuyet); title('Phan bo xac suat Gauss'); xlabel('x');

ylabel('P(x)');legend('Mo phong','Ly thuyet');hold off;FIGURE:

Hàm lquan.m function [indx, qy]= lquan(x,xmin,xmax,nbit) nlevel=2.^nbit; q=(xmax-xmin)./nlevel; [indx, qy]=quantiz(x,xmin+q:q:xmax-q,xmin+q/2:q:xmax-q/2); Bài 2.1 xs=rand(1,5)*2-1; [xi, xq]=lquan(xs,-1,1,3)

Bài 2.2 t=0:.1:20; xt=sin(rand()+t).*cos(rand()*t); [inx, xqt]=lquan(xt,-1,1,randint(1,1,3)+2); plot(t,xt,'b',t,xqt,'r'); grid on; title('Do thi cua tin hieu'); xlabel('t'); legend('xt','xqt');

FIGURE:

Bài 3.1 N=1000;x=2*rand(1,N)-1;%Phan bo deu tu -1 den 1nbit=1:10;%So bit luong tu tu 1 den 10SNqR=zeros(size(nbit));%Khoi tao mang SNqR chua kqua

SNqR_lt=6.02*nbit;%Mang SNqR theo ly thuyetPs=sum(x.^2)/N;%Cong suat tin hieufor i=1:size(nbit,2)%Tra ve so cot cua nbit [xi, xq]=lquan(x,-1,1,nbit(i)); eq=x-xq; Pq=sum(eq.^2)/N; SNqR(i)=10*log10(Ps/Pq);endplot(nbit,SNqR,'b',nbit,SNqR_lt,'r');xlabel('nbit');ylabel('SNqR');legend('Thuc te','Ly thuyet');

FIGURE:

Bài 3.2 N=1000;x=sin(linspace(1,5,N));%Tin hieu dieu hoanbit=1:10;%So bit luong tu tu 1 den 10SNqR=zeros(size(nbit));%Khoi tao mang SNqR chua kqua

SNqR_lt=6.02*nbit;%Mang SNqR theo ly thuyetPs=sum(x.^2)/N;%Cong suat tin hieufor i=1:size(nbit,2)%Tra ve so cot cua nbit [xi, xq]=lquan(x,-1,1,nbit(i));% eq=x-xq; Pq=sum(eq.^2)/N; SNqR(i)=10*log10(Ps/Pq);endplot(nbit,SNqR,'b',nbit,SNqR_lt,'r');xlabel('nbit');ylabel('SNqR');legend('Thuc te','Ly thuyet');

FIGURE: SNqR ly thuyet va thuc te

Bài 4.1 L=500;x=randn(1,L);n=-(L-1):1:(L-1);acorr_x=xcorr(x);%Tinh tu tuong quanplot(n,acorr_x,'m');hold on;x=linspace(-1,1,L);%Bien do tang dann=-(L-1):1:(L-1);acorr_x=xcorr(x);plot(n,acorr_x,'r');x=sin(linspace(-10,10,L));%Tin hieu sinn=-(L-1):1:(L-1);acorr_x=xcorr(x);plot(n,acorr_x,'.');legend('randn','linspace','sin(linspace)');xlabel('n');ylabel('acorr(x)');title('Ham tu tuong quan');

hold off;

FIGURE:

Bài 4.2 N=200; L=50; x=rand(1,L); acorr_x=xcorr(x); k=0:N-1; fx=fft(x,N);%DFT tin hieu x esd_x=abs(fx).^2;%Mat do pho nang luong ft_acorr_x=fft(acorr_x,N).*exp(1i*2*pi/N*k*(L-1));%Pho ham tu tuong quan subplot(2,1,1); semilogy(k*2/N,esd_x); title('Mat do pho nang luong'); xlabel('k*2/N'); ylabel('S(k)'); subplot(2,1,2); semilogy(k*2/N,real(ft_acorr_x),'r'); title('Mat do pho nang luong theo tu tuong quan'); xlabel('k*2/N'); ylabel('Rxx(k)');

FIGURE:

Bài 5.1 len=100000;%Do dai dong bit mo phongSNR_db=0:2:8;%Tao vecto SNR_db = 0 2 4 6 8SNR=10.^(SNR_db/10);%Doi SNR tu Decibel sang lanbsignal=randint(1,len);%Dong bit ngau nhien do dai lenNRZ_signal=bsignal*2-1;%Bien doi dong bit 0 1 sang -1 1N0=1./SNR;for i=1:length(SNR_db) noise=sqrt(N0(i))*randn(1,len);%Tao tap am r_signal=NRZ_signal + noise;%Tin hieu NRZ phia thu NRZ_decoded=sign(r_signal);%Giai ma tin hieu NRZ [num,rat]=symerr(NRZ_decoded,NRZ_signal); BER(i)=rat;endplot(SNR_db,BER,'bo--');title('Ti le loi bit BER voi ti le tin hieu tren tap am SNR');xlabel('SNR__db');ylabel('BER');

FIGURE:

Bài 5.2 len=100000;%Do dai dong bit mo phong SNR_db=0:2:8;%Tao vecto SNR_db = 0 2 4 6 8 SNR=10.^(SNR_db/10);%Doi SNR tu Decibel sang lan bsignal=randint(1,len);%Dong bit ngau nhien do dai len NRZ_signal=bsignal*2-1;%Bien doi dong bit 0 1 sang -1 1 N0=1./SNR; for i=1:length(SNR_db) noise=sqrt(N0(i))*randn(1,len);%Tao tap am r_signal=NRZ_signal + noise;%Tin hieu NRZ phia thu NRZ_decoded=sign(r_signal);%Giai ma tin hieu NRZ [num,rat]=symerr(NRZ_decoded,NRZ_signal); BER(i)=rat; end plot(SNR_db,BER,'bo--'); title('So sanh BER voi ly thuyet Pe') xlabel('SNR__db'); ylabel('BER'); hold on; SNR=0:2:8; Pe=1./2.*(1-erf(sqrt(10.^(SNR/10)./2)));%Tinh Pe plot(SNR,Pe,'r'); hold off;

FIGURE:

Bài 6.1 len=500000;x=randint(1,len);for i=1:2:len;

switch x(i) case 0 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*5*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*3*pi/4)*sqrt(2); end case 1 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*7*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*pi/4)*sqrt(2); end end

endplot(qpsk_signal,'+');title('Bieu do chom sao QPSK');xlabel('\phi(t)');hold on;t=0:0.01:2*pi;plot(sqrt(2)*exp(j*t),'r--');hold off;

FIGURE:

Bài 6.2 len=50000;x=randint(1,len);for i=1:2:len;

switch x(i) case 0 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*5*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*3*pi/4)*sqrt(2); end case 1 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*7*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*pi/4)*sqrt(2); end end

end

SNR=6;Es=std(qpsk_signal).^2;N0=Es/(10^(SNR/10));noise=sqrt(N0/2).*(randn(1,length(qpsk_signal))+j.*randn(1,length(qpsk_signal)));qpsk=qpsk_signal+noise;plot(qpsk,'.');

hold on;plot(qpsk_signal,'y+');hold on;t=0:0.01:2*pi;plot(sqrt(2)*exp(j*t),'y--');legend('Co nhieu','K nhieu');hold off;FIGURE: QPSK co nhieu

Bài 7 len=50000;x=randint(1,len);for i=1:2:len;

switch x(i) case 0 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*5*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*3*pi/4)*sqrt(2); end case 1 if x(i+1)==1

qpsk_signal((i+1)/2)=exp(j*7*pi/4)*sqrt(2); else qpsk_signal((i+1)/2)=exp(j*pi/4)*sqrt(2); end end

endSNR=0:2:8;Es=std(qpsk_signal).^2;

N0=Es./(10.^(SNR/10)); qpsk_de=zeros(1,2*length(qpsk_signal)); for i=1:length(SNR) noise=sqrt(N0(i)/2).*(randn(1,length(qpsk_signal))+j.*randn(1,length(qpsk_signal))); qpsk=qpsk_signal+noise; for k=1:length(qpsk) if(real(qpsk(k))>0) qpsk_de(2*k-1)=1; else qpsk_de(2*k-1)=0; end if(imag(qpsk(k))>0) qpsk_de(2*k)=0; else qpsk_de(2*k)=1; end end BER(i)=symerr(qpsk_de,x)/length(x); end Pb=1/2*erfc(sqrt((10.^(SNR/10))./2)); xlabel('SNR_db'); plot(SNR,BER,'o-'); hold on; plot(SNR,Pb,'r'); legend('BER','Pb'); hold off; FIGURE:

Bài 8 n_sym=50000;M=[16 32 64];SNR_db=0:25;BER=zeros(length(M),length(SNR_db));for k=1:size(M,2) s_stream=randint(1,n_sym,M(k)); y=qammod(s_stream,M(k),0,'gray'); Es=std(y).^2; SNR=10.^(SNR_db/10); N0=Es./SNR;

for r=1:size(SNR_db,2) noise=sqrt(N0(r)/2)*(randn(1,length(y))+j.*randn(1,length(y))); y_awgn=y+noise; s_demod=qamdemod(y_awgn,M(k),0,'gray'); [num rat]=biterr(s_demod,s_stream); BER(k,r)=rat; end end semilogy(SNR_db,BER(1,:),'bo-',SNR_db,BER(2,:),'rs-',SNR_db,BER(3,:),'m*-'); title('Ti le BER voi cac muc khac nhau'); xlabel('SNR_db'); legend('M=16','M=32','M=64'); grid on; FIGURE: