• 《DSP using MATLAB》Problem 7.31


            参照Example7.27,因为0.1π=2πf1   f1=0.05,0.9π=2πf2   f2=0.45

            所以0.1π≤ω≤0.9π,0.05≤|H|≤0.45

    代码:

    %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    %%            Output Info about this m-file
    fprintf('
    ***********************************************************
    ');
    fprintf('        <DSP using MATLAB> Problem 7.31 
    
    ');
    
    banner();
    %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
    
    f = [0  0.1  0.9   1];                          % in w/pi units
    m = [0  0.05 0.45  0];                          % Magnitude values
    
    M = 25;               % length of filter
    N = M - 1;            % Nth-order 
    h = firpm(N, f, m, 'differentiator');
    %h
    [db, mag, pha, grd, w] = freqz_m(h, [1]);
    
    [Hr, ww, c, L] = Hr_Type3(h);
    %[Hr,omega,P,L] = ampl_res(h);
    
    l = 0:M-1;
    %% -------------------------------------------------
    %%                    Plot
    %% -------------------------------------------------  
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31')
    set(gcf,'Color','white'); 
    subplot(2,2,1); plot(w/pi, db); grid on; axis([0 2 -90 10]); 
    set(gca,'YTickMode','manual','YTick',[-60,-40,-20,0])
    set(gca,'YTickLabelMode','manual','YTickLabel',['60';'40';'20';' 0']);
    set(gca,'XTickMode','manual','XTick',[0,0.1,0.9,1,1.1,1.9,2]);
    xlabel('frequency in pi units'); ylabel('Decibels'); title('Magnitude Response in dB');
    
    subplot(2,2,3); plot(w/pi, mag); grid on; %axis([0 1 -100 10]); 
    xlabel('frequency in pi units'); ylabel('Absolute'); title('Magnitude Response in absolute');
    set(gca,'XTickMode','manual','XTick',[0,0.1,0.9,1,1.1,1.9,2]);
    set(gca,'YTickMode','manual','YTick',[0,1.0,2.0]);
    
    subplot(2,2,2); plot(w/pi, pha); grid on; %axis([0 1 -100 10]); 
    xlabel('frequency in pi units'); ylabel('Rad'); title('Phase Response in Radians');
    subplot(2,2,4); plot(w/pi, grd*pi/180);  grid on; %axis([0 1 -100 10]); 
    xlabel('frequency in pi units'); ylabel('Rad'); title('Group Delay');
    
    
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31')
    set(gcf,'Color','white'); 
    
    subplot(2,2,1); stem(l, h); axis([-1, M, -0.6, 0.5]); grid on;
    xlabel('n'); ylabel('h(n)'); title('Actual Impulse Response, M=25');
    set(gca, 'XTickMode', 'manual', 'XTick', [0,12,25]);
    set(gca, 'YTickMode', 'manual', 'YTick', [-0.6:0.2:0.6]);
    
    subplot(2,2,3); plot(w/pi, db); axis([0, 1, -80, 10]); grid on;
    xlabel('frequency in pi units'); ylabel('Decibels'); title('Magnitude Response in dB ');
    set(gca,'XTickMode','manual','XTick',f)
    set(gca,'YTickMode','manual','YTick',[-60,-40,-20,0]);
    set(gca,'YTickLabelMode','manual','YTickLabel',['60';'40';'20';' 0']);
    
    subplot(2,2,4); plot(ww/pi, Hr); axis([0, 1, -0.2, 1.5]); grid on;
    xlabel('frequency in pi nuits'); ylabel('Hr(w)'); title('Amplitude Response');
    
    
    
    n = [0:1:100];
    x = 3*sin(0.25*pi*n);
    y = filter(h,1,x);
    y_chk = 0.75*cos(0.25*pi*n);
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31 x(n)')
    set(gcf,'Color','white'); 
    subplot(2,1,1); stem([0:M-1], h); axis([0 M-1 -0.5 0.5]); grid on;
    xlabel('n'); ylabel('h(n)'); title('Actual Impulse Response, M=25');
    
    subplot(2,1,2); stem(n, x); axis([0 100 0 3]); grid on;
    xlabel('n'); ylabel('x(n)'); title('Input sequence');
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31 y(n) and y_chk(n)')
    set(gcf,'Color','white'); 
    subplot(2,1,1); stem(n, y); axis([0 100 -1 1]); grid on;
    xlabel('n'); ylabel('y(n)'); title('Output sequence');
    
    subplot(2,1,2); stem(n, y_chk); axis([0 100 -1 1]); grid on;
    xlabel('n'); ylabel('y\_chk(n)'); title('Output sequence');
    
    
    % ---------------------------
    %    DTFT of x
    % ---------------------------
    MM = 500;
    [X, w1] = dtft1(x, n, MM);
    [Y, w1] = dtft1(y, n, MM);
    
    magX = abs(X); angX = angle(X); realX = real(X); imagX = imag(X);
    magY = abs(Y); angY = angle(Y); realY = real(Y); imagY = imag(Y);
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31 DTFT of x(n)')
    set(gcf,'Color','white'); 
    subplot(2,2,1); plot(w1/pi,magX); grid on; %axis([0,2,0,15]); 
    title('Magnitude Part');
    xlabel('frequency in pi units'); ylabel('Magnitude  |X|'); 
    subplot(2,2,3); plot(w1/pi, angX/pi); grid on; axis([0,2,-1,1]);
    title('Angle Part');
    xlabel('frequency in pi units'); ylabel('Radians/pi');
    
    subplot('2,2,2'); plot(w1/pi, realX); grid on;
    title('Real Part');
    xlabel('frequency in pi units'); ylabel('Real');
    subplot('2,2,4'); plot(w1/pi, imagX); grid on;
    title('Imaginary Part');
    xlabel('frequency in pi units'); ylabel('Imaginary');
    
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31 DTFT of y(n)')
    set(gcf,'Color','white'); 
    subplot(2,2,1); plot(w1/pi,magY); grid on; %axis([0,2,0,15]); 
    title('Magnitude Part');
    xlabel('frequency in pi units'); ylabel('Magnitude  |Y|'); 
    subplot(2,2,3); plot(w1/pi, angY/pi); grid on; axis([0,2,-1,1]);
    title('Angle Part');
    xlabel('frequency in pi units'); ylabel('Radians/pi');
    
    subplot('2,2,2'); plot(w1/pi, realY); grid on;
    title('Real Part');
    xlabel('frequency in pi units'); ylabel('Real');
    subplot('2,2,4'); plot(w1/pi, imagY); grid on;
    title('Imaginary Part');
    xlabel('frequency in pi units'); ylabel('Imaginary');
    
    figure('NumberTitle', 'off', 'Name', 'Problem 7.31 Magnitude Response')
    set(gcf,'Color','white'); 
    subplot(1,2,1); plot(w1/pi,magX); grid on; %axis([0,2,0,15]); 
    title('Magnitude Part of Input');
    xlabel('frequency in pi units'); ylabel('Magnitude  |X|'); 
    subplot(1,2,2); plot(w1/pi,magY); grid on; %axis([0,2,0,15]); 
    title('Magnitude Part of Output');
    xlabel('frequency in pi units'); ylabel('Magnitude  |Y|'); 
    

      运行结果:

          根据线性相位FIR性质,differentiator为第3类线性相位FIR,下图为脉冲响应、幅度谱和振幅谱。

            脉冲响应和输入序列

            下图分别用卷积法和数学求导数方法得到的输出,

            各自求其离散时间傅氏变换DTFT,得

            两种求微分结果幅度谱对比,可以看出:

            1、设计滤波器卷积输入,输出的0.5π频率附近出现能量,数学求法没有;

            2、设计滤波器卷积输入,幅度较数学求法小(能量有损失?);

    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。
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  • 原文地址:https://www.cnblogs.com/ky027wh-sx/p/10849165.html
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