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1、Matlab 实现量化过程(均匀量化)对信号进行2 到 8bit 量化，并对两种量化方式的量化噪声作对比clc;clearn=1:2000;y=sin(2*pi*n/100)+0.5*cos(2*pi*n/200)+2*sin(2*pi*n/300);for bits=2:8figure(bits-1);v=0:2Abits;m=-2.6+(2.6+2.6)/2Abits*v; % 量化v1=1:2Abits;p_round=m(v1)+(m(v1+1)-m(v1)/2; % 中间值%画原函数图subplot(3,1,1);plot(n,y);grid on;title(y(n);axis(0
2、,2000,-3.5,3.5);%画 round() 函数量化图y_round=y;for i=1:2000for j=1:2Abitsif(y(i)=m(j)&y(i)=m(j)&y(i)m(j+1)y_floor(i)=m(j);end;end;end;subplot(3,1,3);plot(n,y_floor);grid on;title(floor(n);axis(0,2000,-3.5,3.5);%计算SNRY_power=sum(y.A2)/2000;round_power=sum(y-y_round).A2)/2000;SNR_round=0;SNR_round(bits)=Y_
3、power/round_power;floor_power=sum(y-y_floor).A2)/2000;SNR_floor(1)=0; SNR_floor(bits)=Y_power/floor_power;end; %结束2-8比特循环SNR_round_db=10*log10(SNR_round)SNR_floor_db=10*log10(SNR_floor)%画SNR图figure(8);axis_x=1:8;plot(axis_x,SNR_round_db);title(量化信噪比);hold on;plot(axis_x,SNR_floor_db,r);grid on;axis(
4、2,8,0,50);xlabel(bit);ylabel(SNR/dB);legend(round,floor);运行结果：SNR_round_db =-Inf 12.576018.403224.345130.708536.723742.631748.4947SNR_floor_db =-Inf 6.525412.570418.576524.6524fl。20D 400 EDO aOO 1000 12MJ IHCG 19 1000 2000noarfn)*iiii- iru ；t$“- r- - -t11kliIlk0 皿 MO 典皿 IM 12QD U03 皿 IBQD an30.683936.681342.6456品化信噪比round floprfloor函数产生的量化信噪比。上一条线为round函数产生的量化信噪比，下一条线为