《DSP using MATLAB》Problem 8.28
代码:
%% ------------------------------------------------------------------------ %% Output Info about this m-file fprintf('\n***********************************************************\n'); fprintf(' <DSP using MATLAB> Problem 8.28 \n\n'); banner(); %% ------------------------------------------------------------------------ Fp = 500; % analog passband freq in Hz Fs = 700; % analog stopband freq in Hz fs = 2000; % sampling rate in Hz % ------------------------------- % ω = ΩT = 2πF/fs % Digital Filter Specifications: % ------------------------------- wp = 2*pi*Fp/fs; % digital passband freq in rad/sec %wp = Fp; ws = 2*pi*Fs/fs; % digital stopband freq in rad/sec %ws = Fs; Rp = 0.5; % passband ripple in dB As = 40; % stopband attenuation in dB Ripple = 10 ^ (-Rp/20) % passband ripple in absolute Attn = 10 ^ (-As/20) % stopband attenuation in absolute % Analog prototype specifications: Inverse Mapping for frequencies T = 1/fs; % set T = 1 OmegaP = wp/T; % prototype passband freq OmegaS = ws/T; % prototype stopband freq % Analog Chebyshev-1 Prototype Filter Calculation: [cs, ds] = afd_chb1(OmegaP, OmegaS, Rp, As); % Calculation of second-order sections: fprintf('\n***** Cascade-form in s-plane: START *****\n'); [CS, BS, AS] = sdir2cas(cs, ds) fprintf('\n***** Cascade-form in s-plane: END *****\n'); % Calculation of Frequency Response: [db_s, mag_s, pha_s, ww_s] = freqs_m(cs, ds, 2*pi/T); % Calculation of Impulse Response: [ha, x, t] = impulse(cs, ds); % Match-z Transformation: %[b, a] = imp_invr(cs, ds, T) % digital Num and Deno coefficients of H(z) [b, a] = mzt(cs, ds, T) % digital Num and Deno coefficients of H(z) [C, B, A] = dir2par(b, a) % Calculation of Frequency Response: [db, mag, pha, grd, ww] = freqz_m(b, a); %% ----------------------------------------------------------------- %% Plot %% ----------------------------------------------------------------- figure('NumberTitle', 'off', 'Name', 'Problem 8.28 Analog Chebyshev-1 lowpass') set(gcf,'Color','white'); M = 1.2; % Omega max subplot(2,2,1); plot(ww_s/(pi*1000), mag_s); grid on; axis([-1.5, 1.5, 0, 1.1]); xlabel(' Analog frequency in k\pi units'); ylabel('|H|'); title('Magnitude in Absolute'); set(gca, 'XTickMode', 'manual', 'XTick', [-700, -500, 0, 500, 700, 1000]*0.002); set(gca, 'YTickMode', 'manual', 'YTick', [0, 0.01, 0.5, 0.9441, 1]); subplot(2,2,2); plot(ww_s/(pi*1000), db_s); grid on; %axis([0, M, -50, 10]); xlabel('Analog frequency in k\pi units'); ylabel('Decibels'); title('Magnitude in dB '); set(gca, 'XTickMode', 'manual', 'XTick', [-700, -500, 0, 500, 700, 1000]*0.002); set(gca, 'YTickMode', 'manual', 'YTick', [-70, -40, -1, 0]); set(gca,'YTickLabelMode','manual','YTickLabel',['70';'40';' 1';' 0']); subplot(2,2,3); plot(ww_s/(pi*1000), pha_s/pi); grid on; axis([-1.5, 1.5, -1.2, 1.2]); xlabel('Analog frequency in k\pi nuits'); ylabel('radians'); title('Phase Response'); set(gca, 'XTickMode', 'manual', 'XTick', [-700, -500, 0, 500, 700, 1000]*0.002); set(gca, 'YTickMode', 'manual', 'YTick', [-1:0.5:1]); subplot(2,2,4); plot(t, ha); grid on; %axis([0, 30, -0.05, 0.25]); xlabel('time in seconds'); ylabel('ha(t)'); title('Impulse Response'); figure('NumberTitle', 'off', 'Name', 'Problem 8.28 Digital Chebyshev-1 lowpass') set(gcf,'Color','white'); M = 2; % Omega max %% Note %% %% Magnitude of H(z) * T %% Note %% subplot(2,2,1); plot(ww/pi, mag/10); grid on; axis([0, M, 0, 1.1]); xlabel(' frequency in \pi units'); ylabel('|H|'); title('Magnitude Response'); set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.5, 0.7, 1.0, M]); set(gca, 'YTickMode', 'manual', 'YTick', [0, 0.01, 0.5, 0.9441, 1, 5, 10]); subplot(2,2,2); plot(ww/pi, pha/pi); axis([0, M, -1.1, 1.1]); grid on; xlabel('frequency in \pi nuits'); ylabel('radians in \pi units'); title('Phase Response'); set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.5, 0.7, 1.0, M]); set(gca, 'YTickMode', 'manual', 'YTick', [-1:1:1]); subplot(2,2,3); plot(ww/pi, db); axis([0, M, -70, 10]); grid on; xlabel('frequency in \pi units'); ylabel('Decibels'); title('Magnitude in dB '); set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.5, 0.7, 1.0, M]); set(gca, 'YTickMode', 'manual', 'YTick', [-50, -40, -1, 0]); set(gca,'YTickLabelMode','manual','YTickLabel',['50';'40';' 1';' 0']); subplot(2,2,4); plot(ww/pi, grd); grid on; %axis([0, M, 0, 35]); xlabel('frequency in \pi units'); ylabel('Samples'); title('Group Delay'); set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.5, 0.7, 1.0, M]); %set(gca, 'YTickMode', 'manual', 'YTick', [0:5:35]); figure('NumberTitle', 'off', 'Name', 'Problem 8.28 Pole-Zero Plot') set(gcf,'Color','white'); zplane(b,a); title(sprintf('Pole-Zero Plot')); %pzplotz(b,a); % Calculation of Impulse Response: %[hs, xs, ts] = impulse(c, d); figure('NumberTitle', 'off', 'Name', 'Problem 8.28 Imp & Freq Response') set(gcf,'Color','white'); t = [0:0.0005:0.04]; subplot(2,1,1); impulse(cs,ds,t); grid on; % Impulse response of the analog filter axis([0, 0.04, -500, 1000]);hold on n = [0:1:0.04/T]; hn = filter(b,a,impseq(0,0,0.04/T)); % Impulse response of the digital filter stem(n*T,hn); xlabel('time in sec'); title (sprintf('Impulse Responses, T=%.4f',T)); hold off %n = [0:1:29]; %hz = impz(b, a, n); % Calculation of Frequency Response: [dbs, mags, phas, wws] = freqs_m(cs, ds, 2*pi/T); % Analog frequency s-domain [dbz, magz, phaz, grdz, wwz] = freqz_m(b, a); % Digital z-domain %% ----------------------------------------------------------------- %% Plot %% ----------------------------------------------------------------- M = 1/T; % Omega max subplot(2,1,2); plot(wws/(2*pi),mags*Fs,'b', wwz/(2*pi)*Fs,magz,'r'); grid on; xlabel('frequency in Hz'); title('Magnitude Responses'); ylabel('Magnitude'); text(1.4,.5,'Analog filter'); text(1.5,1.5,'Digital filter');
运行结果:
转换成绝对指标
模拟Chebyshev-1型低通滤波器,系统函数串联形式
通过match-z方法,模拟低通转换成数字Chebyshev-1型低通滤波器,
数字Chebyshev-1型低通直接形式的系数
转换成并联形式,其系数
模拟低通的幅度谱、相位谱和脉冲响应
数字低通的幅度谱、相位谱和群延迟
数字低通的零极点图,可以看出,零极点都位于单位圆内。
match-z方法,是和脉冲响应不变法不同的,不保留脉冲响应的形式,模拟Chebyshev-1型低通滤波器和对应的数字低通
滤波器的脉冲响应形式是不同的,见下图。
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。