代码:

%% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
%% Output Info about this m-file
fprintf('\n***********************************************************\n');
fprintf(' <DSP using MATLAB> Problem 7.14 \n\n'); banner();
%% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ % bandpass
ws1 = 0.25*pi; wp1 = 0.35*pi; wp2=0.65*pi; ws2=0.75*pi;
delta1 = 0.05; delta2 = 0.01;
tr_width = min(wp1-ws1, ws2-wp2);
f = [ws1, wp1, wp2, ws2]/pi; [Rp, As] = delta2db(delta1, delta2) M = ceil((As-7.95)/(2.285*tr_width)) + 1; % Kaiser Window
if As > 21 || As < 50
beta = 0.5842*(As-21)^0.4 + 0.07886*(As-21);
else
beta = 0.1102*(As-8.7);
end fprintf('\nKaiser Window method, Filter Length: M = %d. beta = %.4f\n', M, beta); n = [0:1:M-1]; wc1 = (ws1+wp1)/2; wc2 = (ws2+wp2)/2; %wc = (ws + wp)/2, % ideal LPF cutoff frequency hd = ideal_lp(wc2, M) - ideal_lp(wc1, M);
w_kai = (kaiser(M, beta))'; h = hd .* w_kai;
[db, mag, pha, grd, w] = freqz_m(h, [1]); delta_w = 2*pi/1000;
[Hr,ww,P,L] = ampl_res(h); Rp = -(min(db(wp1/delta_w :1: wp2/delta_w+1))); % Actual Passband Ripple
fprintf('\nActual Passband Ripple is %.4f dB.\n', Rp); As = -round(max(db(1 : 1 : floor(ws1/delta_w)+1 ))); % Min Stopband attenuation
fprintf('\nMin Stopband attenuation is %.4f dB.\n', As); [delta1, delta2] = db2delta(Rp, As) % Plot figure('NumberTitle', 'off', 'Name', 'Problem 7.14 ideal_lp Method')
set(gcf,'Color','white'); subplot(2,2,1); stem(n, hd); axis([0 M-1 -0.3 0.4]); grid on;
xlabel('n'); ylabel('hd(n)'); title('Ideal Impulse Response'); subplot(2,2,2); stem(n, w_kai); axis([0 M-1 0 1.1]); grid on;
xlabel('n'); ylabel('w(n)'); title('Kaiser Window'); subplot(2,2,3); stem(n, h); axis([0 M-1 -0.3 0.4]); grid on;
xlabel('n'); ylabel('h(n)'); title('Actual Impulse Response'); subplot(2,2,4); plot(w/pi, db); axis([0 1 -100 10]); grid on;
set(gca,'YTickMode','manual','YTick',[-90,-42,0]);
set(gca,'YTickLabelMode','manual','YTickLabel',['90';'42';' 0']);
set(gca,'XTickMode','manual','XTick',[0,f,1]);
xlabel('frequency in \pi units'); ylabel('Decibels'); title('Magnitude Response in dB'); figure('NumberTitle', 'off', 'Name', 'Problem 7.14 h(n) ideal_lp Method')
set(gcf,'Color','white'); subplot(2,2,1); plot(w/pi, db); grid on; axis([0 2 -100 10]);
xlabel('frequency in \pi units'); ylabel('Decibels'); title('Magnitude Response in dB');
set(gca,'YTickMode','manual','YTick',[-90,-42,0])
set(gca,'YTickLabelMode','manual','YTickLabel',['90';'42';' 0']);
set(gca,'XTickMode','manual','XTick',[0,f,1+f,2]); subplot(2,2,3); plot(w/pi, mag); grid on; %axis([0 2 -100 10]);
xlabel('frequency in \pi units'); ylabel('Absolute'); title('Magnitude Response in absolute');
set(gca,'XTickMode','manual','XTick',[0,f,1+f,2]);
set(gca,'YTickMode','manual','YTick',[0,0.5, 1]) 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 7.14 Amp Res of h(n)')
set(gcf,'Color','white'); plot(ww/pi, Hr); grid on; %axis([0 1 -100 10]);
xlabel('frequency in \pi units'); ylabel('Hr'); title('Amplitude Response');
set(gca,'YTickMode','manual','YTick',[-delta2,0,delta2,1 - delta1,1, 1 + delta1])
%set(gca,'YTickLabelMode','manual','YTickLabel',['90';'45';' 0']);
set(gca,'XTickMode','manual','XTick',[0,f,2]); %% +++++++++++++++++++++++++++++++++++++++++
%% fir1 function method
%% +++++++++++++++++++++++++++++++++++++++++
f = [ws1, wp1, wp2, ws2]/pi;
m = [0 1 0];
ripple = [0.01 0.05 0.01];
[N, wc, beta, ftype] = kaiserord(f,m,ripple);
fprintf('\n------------ kaiserord function: START---------------\n');
fprintf('\n--------- results used by fir1 function ---------\n');
N
wc
beta
ftype
fprintf('------------- kaiserord function: FINISH---------------\n');
%h_check = fir1(M-1, [wc1 wc2]/pi, 'stop', window(@kaiser, M));
%h_check = fir1(N, wc, ftype, window(@kaiser, N+1));
h_check = fir1(N, wc, ftype, kaiser(N+1, beta)); [db, mag, pha, grd, w] = freqz_m(h_check, [1]);
[Hr,ww,P,L] = ampl_res(h_check); As = -round(max(db(1 : 1 : floor(ws1/delta_w)+1 ))); % Min Stopband attenuation
fprintf('\nMin Stopband attenuation is %.4f dB.\n', As); Rp = -(min(db(wp1/delta_w :1: wp2/delta_w+1))); % Actual Passband Ripple
fprintf('\nActual Passband Ripple is %.4f dB.\n', Rp); [delta1, delta2] = db2delta(Rp, As) %% -------------------------------------------
%% plot
%% -------------------------------------------
figure('NumberTitle', 'off', 'Name', 'Problem 7.14 fir1 Method')
set(gcf,'Color','white'); subplot(2,2,1); stem(n, hd); axis([0 M-1 -0.3 0.4]); grid on;
xlabel('n'); ylabel('hd(n)'); title('Ideal Impulse Response'); subplot(2,2,2); stem(n, w_kai); axis([0 M-1 0 1.1]); grid on;
xlabel('n'); ylabel('w(n)'); title('Kaiser Window'); subplot(2,2,3); stem([0:N], h_check); axis([0 M -0.3 0.4]); grid on;
xlabel('n'); ylabel('h\_check(n)'); title('Actual Impulse Response'); subplot(2,2,4); plot(w/pi, db); axis([0 1 -100 10]); grid on;
set(gca,'YTickMode','manual','YTick',[-90,-42,0]);
set(gca,'YTickLabelMode','manual','YTickLabel',['90';'42';' 0']);
set(gca,'XTickMode','manual','XTick',[0,f,1]);
xlabel('frequency in \pi units'); ylabel('Decibels'); title('Magnitude Response in dB'); figure('NumberTitle', 'off', 'Name', 'Problem 7.14 h_check(n) fir1 Method')
set(gcf,'Color','white'); subplot(2,2,1); plot(w/pi, db); grid on; axis([0 2 -100 10]);
xlabel('frequency in \pi units'); ylabel('Decibels'); title('Magnitude Response in dB');
set(gca,'YTickMode','manual','YTick',[-90,-42,0])
set(gca,'YTickLabelMode','manual','YTickLabel',['90';'42';' 0']);
set(gca,'XTickMode','manual','XTick',[0,f,1+f,2]); subplot(2,2,3); plot(w/pi, mag); grid on; %axis([0 2 -100 10]);
xlabel('frequency in \pi units'); ylabel('Absolute'); title('Magnitude Response in absolute');
set(gca,'XTickMode','manual','XTick',[0,f,1+f,2]);
set(gca,'YTickMode','manual','YTick',[0,0.5, 1]) 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');

  运行结果:

使用fir1函数得到的对应结果

《DSP using MATLAB》Problem 7.14的更多相关文章

  1. 《DSP using MATLAB》Problem 6.14

    代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...

  2. 《DSP using MATLAB》Problem 5.14

    说明:这两个小题的数学证明过程都不会,欢迎博友赐教. 直接上代码: %% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...

  3. 《DSP using MATLAB》Problem 4.14

    代码: %% ---------------------------------------------------------------------------- %% Output Info a ...

  4. 《DSP using MATLAB》Problem 2.14

    代码: %% ------------------------------------------------------------------------ %% Output Info about ...

  5. 《DSP using MATLAB》Problem 8.14

    代码: %% ------------------------------------------------------------------------ %% Output Info about ...

  6. 《DSP using MATLAB》Problem 7.26

    注意:高通的线性相位FIR滤波器,不能是第2类,所以其长度必须为奇数.这里取M=31,过渡带里采样值抄书上的. 代码: %% +++++++++++++++++++++++++++++++++++++ ...

  7. 《DSP using MATLAB》Problem 6.8

    代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...

  8. 《DSP using MATLAB》Problem 5.7

    代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...

  9. 《DSP using MATLAB》Problem 7.27

    代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...

随机推荐

  1. h5或者微信端吊起app

    [https://www.cnblogs.com/shadajin/p/5724117.html]! 魔窗sdk http://www.magicwindow.cn/doc/universal-lin ...

  2. SQLZOO网页中SQL的答案(SELECT from nobel篇)

    SELECT from nobel篇 1. 更改查詢以顯示1950年諾貝爾獎的獎項資料. 答案: SELECT yr, subject, winner FROM nobel WHERE yr = 19 ...

  3. java常用类( 下 )

  4. nginx——配置 Nginx 防盗链

    什么是防盗链:简单地说,就是某些不法网站未经许可,通过在其自身网站程序里非法调用其他网站的资源,然后在自己的网站上显示这些调用的资源,使得被盗链的那一端消耗带宽资源 (1) 根据 HTTP refer ...

  5. windows下端口占用处理工具

    一.通用方法 经常,我们在启动应用的时候发现系统需要的端口被别的程序占用,笔者在最近使用tomcat时,老是会遇到这种端口占用的问题,如何知道谁占有了我们需要的端口,很多人都比较头疼,以下是通用方法: ...

  6. Labview笔记-创建自定义控件

    labview中的控件种类很多,但是样式或者外观有时不能满足我们的需求.如何制作一个好看酷酷的自定义控件呢? 以开关为例,我们先添加一个labview中自带的确定开关控件 之后右键该控件--高级--自 ...

  7. python日常小计

    1.查看变量类型:  pring type(item) 2.解决list中的中文显示乱码 使用decode('string_escap')将数据库查询返回的将带转义的字节码字符串转换为成utf-8中文

  8. 再见了,我最爱的OI~~~

    唔,迟到了三个月的感言呢. 我就这样离开OI了,成为了一个退役的OIer,当年高一的时候还觉得自己有很多时间,没想转眼间自己就退役了.呵呵,来到OI 从没有在这个世界带起一丝风浪,也没有拿到一个满意的 ...

  9. 2018-计算机系机试(第二批)-B-二进制输出

    B. 二进制输出 单点时限: 1.0 sec 内存限制: 256 MB 输入一个十进制表示的非负整数,输出其 8 位二进制表示. 例如:输入 10 ,输出 00001010. 输入格式 一行一个非负整 ...

  10. Spring XML文件配置

    singleton不能创建多对象(默认) <?xml version="1.0" encoding="UTF-8"?> <beans xmln ...