ADC.rar_MATLAB adc_Matlab sin wave_adc in matlab_adc matlab

clc; close all; clear all; t = 0:.001:2*pi; % Times at which to sample the sine function sig = sin(2*t); % Original signal, a sine wave partition = [-1:2/15:1]; % Length 21, to represent 22 intervals codebook = [0:1:16]; % Length 22, one entry for each interval quants= quantiz(sig,partition,codebook); % Quantize. figure(1) plot(t,sig,t,quants),grid legend('Original signal','Quantized signal'); figure(2) r=de2bi(quants,'left-msb'); s=length(quants) %rL=length(r) res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants= quantiz(sig,partition,codebook); % Quantize. %figure(1) %plot(t,sig,t,quants),grid %legend('Original signal','Quantized signal'); %figure(2) %r=de2bi(quants,'left-msb'); %s=length(quants) %rL=length(r) %res=reshape(r,1,4*length(r))% this is the binary data of the original sinwave. %stem(res)%to see the 0-1 data ploted %rL=length(res) %tr=[1:1:rL]/rL; %y=sin(2*pi*50*tr); %jj=res.*y; %figure; %plot(tr,jj),grid; %axis([-.2 7 -2 2]) %clc; %close all; %clear all; %t = 0:.001:2*pi; % Times at which to sample the sine function %sig = sin(2*t); % Original signal, a sine wave %partition = [-1:2/15:1]; % Length 21, to represent 22 intervals %codebook = [0:1:16]; % Length 22, one entry for each interval %quants=