zoukankan      html  css  js  c++  java
  • 《DSP using MATLAB》 Problem 3.22

    代码:

    %% ------------------------------------------------------------------------
    %%            Output Info about this m-file
    fprintf('
    ***********************************************************
    ');
    fprintf('        <DSP using MATLAB> Problem 3.22 
    
    ');
    
    banner();
    %% ------------------------------------------------------------------------
    
    
    %% -------------------------------------------------------------------
    %%           1          xa(t)=cos(20πt+θ)  through A/D
    %% -------------------------------------------------------------------
       Ts = 0.05;                        % sample interval, 0.05s
       Fs = 1/Ts;                        % Fs=20Hz
    %theta = 0;
    %theta = pi/6;
    %theta = pi/4;
    %theta = pi/3;
    theta = pi/2;
    
    n1_start = 0; n1_end = 20;
          n1 = [n1_start:1:n1_end];
         nTs = n1 * Ts;              % [0, 1]s
    
    x1 = cos(20*pi*nTs + theta * ones(1,length(n1)));            % Digital signal
    
    
    M = 500;
    [X1, w] = dtft1(x1, n1, M);
    
    magX1  = abs(X1);  angX1  = angle(X1);  realX1  = real(X1);  imagX1  = imag(X1);
    
    %% --------------------------------------------------------------------
    %%              START X(w)'s  mag ang real imag
    %% --------------------------------------------------------------------
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 X1, theta/pi = %f', theta/pi));
    set(gcf,'Color','white'); 
    subplot(2,1,1); plot(w/pi,magX1); grid on;  %axis([-1,1,0,1.05]); 
    title('Magnitude Response');
    xlabel('frequency in pi units'); ylabel('Magnitude  |H|'); 
    subplot(2,1,2); plot(w/pi, angX1/pi); grid on;  %axis([-1,1,-1.05,1.05]);
    title('Phase Response');
    xlabel('frequency in pi units'); ylabel('Radians/pi');
    
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 X1, theta/pi = %f', theta/pi));
    set(gcf,'Color','white'); 
    subplot(2,1,1); plot(w/pi, realX1); grid on;
    title('Real Part');
    xlabel('frequency in pi units'); ylabel('Real');
    subplot(2,1,2); plot(w/pi, imagX1); grid on;
    title('Imaginary Part');
    xlabel('frequency in pi units'); ylabel('Imaginary');
    %% -------------------------------------------------------------------
    %%             END X's  mag ang real imag
    %% -------------------------------------------------------------------
    
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 xa(n), theta/pi = %f and x1(n)', theta/pi));
    na1 = 0:0.01:1;
    xa1 = cos(20 * pi * na1 + theta * ones(1,length(na1)));
    set(gcf, 'Color', 'white');
    plot(1000*na1,xa1); grid on;  %axis([0,1,0,1.5]);       
    title('x1(n) and xa(n)');
    xlabel('t in msec.'); ylabel('xa(t)'); hold on;
    plot(1000*nTs, x1, 'o'); hold off;
    
    
    %% ------------------------------------------------------------
    %%                  xa(t) reconstruction from x1(n)
    %% ------------------------------------------------------------
    
    Dt = 0.001; t = 0:Dt:1; 
    xa = x1 * sinc(Fs*(ones(length(n1),1)*t - nTs'*ones(1,length(t)))) ;
    
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 Reconstructed From x1(n), theta/pi = %f', theta/pi));
    set(gcf,'Color','white'); 
    %subplot(2,1,1); 
    stairs(t*1000,xa,'r'); grid on;  %axis([0,1,0,1.5]);       % Zero-Order-Hold
    title('Reconstructed Signal from x1(n) using Zero-Order-Hold');
    xlabel('t in msec.'); ylabel('xa(t)'); hold on; 
    %stem(nTs*1000, x1); gtext('ZOH'); hold off;
    plot(nTs*1000, x1, 'o'); gtext('ZOH'); hold off;
    
    
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 Reconstructed From x1(n), theta/pi = %f', theta/pi));
    set(gcf,'Color','white');
    %subplot(2,1,2); 
    plot(t*1000,xa,'r'); grid on;  %axis([0,1,0,1.5]);       % first-Order-Hold
    title('Reconstructed Signal from x1(n) using First-Order-Hold');
    xlabel('t in msec.'); ylabel('xa(t)'); hold on; 
    plot(nTs*1000,x1,'o'); gtext('FOH'); hold off;
    
    
    
    xa = spline(nTs, x1, t);
    figure('NumberTitle', 'off', 'Name', sprintf('Problem 3.22 Reconstructed From x1(n), theta/pi = %f', theta/pi));
    set(gcf,'Color','white'); 
    %subplot(2,1,1);
    plot(1000*t, xa,'r'); 
    xlabel('t in ms units'); ylabel('x');  
    title(sprintf('Reconstructed Signal from x1(n) using Spline function')); grid on; hold on;
    plot(1000*nTs, x1,'o'); gtext('spline');
    

      运行结果:

           这里只看初相位为0的情况,原始模拟信号和采样信号(样点值圆圈标示):

            采样信号的谱,模拟角频率20π对应的数字角频率为π,如下图所示:

            用采样信号重建原来模拟信号:

            sinc方法,stairs函数画图

            sinc方法,plot函数画图:

            cubic方法

            其他初相位的情况,这里不上图了。

    牢记: 1、如果你决定做某事,那就动手去做;不要受任何人、任何事的干扰。2、这个世界并不完美,但依然值得我们去为之奋斗。
  • 相关阅读:
    2021.4.2 Python基础及介绍
    2021.4.1 团队组队
    冲击信号
    信号卷积(线性卷积)
    数字图像处理基本概念
    计算机视觉发展及主要研究方向
    SVM 之 SMO 算法
    FP Growth 算法
    Apriori 算法
    26 实战页式内存管理 下
  • 原文地址:https://www.cnblogs.com/ky027wh-sx/p/8315347.html
Copyright © 2011-2022 走看看