快到龙抬头,居然下雪了,天空飘起了雪花,温度下降了近20°。

代码:

%% ------------------------------------------------------------------------
%% Output Info about this m-file
fprintf('\n***********************************************************\n');
fprintf(' <DSP using MATLAB> Problem 4.21 \n\n'); banner();
%% ------------------------------------------------------------------------ % ----------------------------------------------------
% 1 H1(z)
% ---------------------------------------------------- b = [3/4, 5/4, 1, 1, 5/4, 3/4]; a = [1]; % [R, p, C] = residuez(b,a) Mp = (abs(p))'
Ap = (angle(p))'/pi %% ------------------------------------------------------
%% START a determine H(z) and sketch
%% ------------------------------------------------------
figure('NumberTitle', 'off', 'Name', 'P4.21 H(z) its pole-zero plot')
set(gcf,'Color','white');
zplane(b,a);
title('pole-zero plot'); grid on; %% ----------------------------------------------
%% END
%% ---------------------------------------------- % ------------------------------------
% h(n)
% ------------------------------------ [delta, n] = impseq(0, 0, 19);
h_check = filter(b, a, delta); % check sequence %% --------------------------------------------------------------
%% START b |H| <H
%% 3rd form of freqz
%% --------------------------------------------------------------
w = [-500:1:500]*2*pi/500; H = freqz(b,a,w);
%[H,w] = freqz(b,a,200,'whole'); % 3rd form of freqz magH = abs(H); angH = angle(H); realH = real(H); imagH = imag(H); %% ================================================
%% START H's mag ang real imag
%% ================================================
figure('NumberTitle', 'off', 'Name', 'P4.21 DTFT and Real Imaginary Part ');
set(gcf,'Color','white');
subplot(2,2,1); plot(w/pi,magH); grid on; %axis([0,1,0,1.5]);
title('Magnitude Response');
xlabel('frequency in \pi units'); ylabel('Magnitude |H|');
subplot(2,2,3); plot(w/pi, angH/pi); grid on; % axis([-1,1,-1,1]);
title('Phase Response');
xlabel('frequency in \pi units'); ylabel('Radians/\pi'); subplot('2,2,2'); plot(w/pi, realH); grid on;
title('Real Part');
xlabel('frequency in \pi units'); ylabel('Real');
subplot('2,2,4'); plot(w/pi, imagH); grid on;
title('Imaginary Part');
xlabel('frequency in \pi units'); ylabel('Imaginary');
%% ==================================================
%% END H's mag ang real imag
%% ================================================== % --------------------------------------------------------------
% x(n) through the filter, we get output y(n)
% --------------------------------------------------------------
N = 200;
nx = [0:1:N-1];
x = sin(pi*nx/2) + 5 * cos(pi*nx); [y, ny] = conv_m(h_check, n, x, nx); figure('NumberTitle', 'off', 'Name', 'P4.21 Input & h(n) Sequence');
set(gcf,'Color','white');
subplot(3,1,1); stem(nx, x); grid on; %axis([0,1,0,1.5]);
title('x(n)');
xlabel('n'); ylabel('x');
subplot(3,1,2); stem(n, h_check); grid on; %axis([0,1,0,1.5]);
title('h(n)');
xlabel('n'); ylabel('h');
subplot(3,1,3); stem(ny, y); grid on; %axis([0,1,0,1.5]);
title('y(n)');
xlabel('n'); ylabel('y'); figure('NumberTitle', 'off', 'Name', 'P4.21 Output Sequence');
set(gcf,'Color','white');
subplot(1,1,1); stem(ny, y); grid on; %axis([0,1,0,1.5]);
title('y(n)');
xlabel('n'); ylabel('y'); % ----------------------------------------
% yss Response
% ----------------------------------------
ax = conv([1,0,1], [1,2,1])
bx = conv([0,1], [1,2,1]) + conv([5,5], [1,0,1]) by = conv(bx, b)
ay = ax zeros = roots(by) [R, p, C] = residuez(by, ay) Mp_Y = (abs(p))'
Ap_Y = (angle(p))'/pi %% ------------------------------------------------------
%% START a determine Y(z) and sketch
%% ------------------------------------------------------
figure('NumberTitle', 'off', 'Name', 'P4.21 Y(z) its pole-zero plot')
set(gcf,'Color','white');
zplane(by, ay);
title('pole-zero plot'); grid on; % ------------------------------------
% y(n)
% ------------------------------------
LENGH = 100;
[delta, n] = impseq(0, 0, LENGH-1);
y_check = filter(by, ay, delta); % check sequence y_answer0 = 4.75*delta; [delta_1, n1] = sigshift(delta, n, 1);
y_answer1 = 2.25*delta_1; [delta_2, n2] = sigshift(delta, n, 2);
y_answer2 = 2.75*delta_2; [delta_3, n3] = sigshift(delta, n, 3);
y_answer3 = 3.75*delta_3; [delta_4, n4] = sigshift(delta, n, 4);
y_answer4 = 4.50*delta_4; y_answer5 = (2*(-0.5)*cos(pi*n/2) + 2*0.5*sin(pi*n/2) ).*stepseq(0,0,LENGH-1); [y01, n01] = sigadd(y_answer0, n, y_answer1, n1);
[y02, n02] = sigadd(y_answer2, n2, y_answer3, n3); [y03, n03] = sigadd(y01, n01, y02, n02);
[y04, n04] = sigadd(y03, n03, y_answer4, n4); [y_answer, n_answer] = sigadd(y04, n04, y_answer5, n); figure('NumberTitle', 'off', 'Name', 'P4.21 Yss and Y ');
set(gcf,'Color','white');
subplot(2,1,1); stem(n, y_answer5); grid on; %axis([0,1,0,1.5]);
title('Steady-State Response');
xlabel('n'); ylabel('Yss');
subplot(2,1,2); stem(n, y_check); grid on; % axis([-1,1,-1,1]);
title('Total Response');
xlabel('n'); ylabel('Y');

  运行结果:

系统函数H(z)的系数:

系统的DTFT,注意当ω=π/2和π时的振幅谱、相位谱的值。

当有输入时,输出的Y(z)进行部分分式展开,留数及对应的极点如下:

单位圆上z=-1处,极点和零点相互抵消,稳态响应只和正负j有关。

《DSP using MATLAB》Problem 4.21的更多相关文章

  1. 《DSP using MATLAB》Problem 6.21

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

  2. 《DSP using MATLAB》Problem 5.21

    证明: 代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...

  3. 《DSP using MATLAB》Problem 8.21

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

  4. 《DSP using MATLAB》Problem 3.21

    模拟信号经过不同的采样率进行采样后,得到不同的数字角频率,如下: 三种Fs,采样后的信号的谱 重建模拟信号,这里只显示由第1种Fs=0.01采样后序列进行重建,采用zoh.foh和spline三种方法 ...

  5. 《DSP using MATLAB》Problem 7.27

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

  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 7.24

    又到清明时节,…… 注意:带阻滤波器不能用第2类线性相位滤波器实现,我们采用第1类,长度为基数,选M=61 代码: %% +++++++++++++++++++++++++++++++++++++++ ...

  8. 《DSP using MATLAB》Problem 7.23

    %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output Info a ...

  9. 《DSP using MATLAB》Problem 7.16

    使用一种固定窗函数法设计带通滤波器. 代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...

随机推荐

  1. WinForm一次只打开一个程序

    WinForm如果我们希望一次只打开一个程序,那么我们在程序每次运行的时候都需要检测线程是否存在该程序,如果存在就呼出之前的窗体,C#代码如下: using System; using System. ...

  2. ThreadPoolExecutor类

    首先分析内部类:ThreadPoolExecutor$Worker //Worker对线程和任务做了一个封装,同时它又实现了Runnable接口, //所以Worker类的线程跑的是自身的run方法 ...

  3. 深入了解 Java-Netty高性能高并发理解

    https://www.jianshu.com/p/ac7fb5c2640f 一丶 Netty基础入门 Netty是一个高性能.异步事件驱动的NIO框架,它提供了对TCP.UDP和文件传输的支持,作为 ...

  4. ZOJ 3829 Known Notation 贪心 难度:0

    Known Notation Time Limit: 2 Seconds      Memory Limit: 65536 KB Do you know reverse Polish notation ...

  5. POJ 3579 median 二分搜索,中位数 难度:3

    Median Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 3866   Accepted: 1130 Descriptio ...

  6. bzoj3946

    题解: 树套树 treap+线段树 treap就把线段树上的节点弄一下 然后修改的时候 把中间的一段一起加 把两头重新计算(二分+hash) 代码: #include<bits/stdc++.h ...

  7. [转载]request.getServletPath()方法

    假定你的web application 名称为news,你在浏览器中输入请求路径: http://localhost:8080/news/main/list.jsp 则执行下面向行代码后打印出如下结果 ...

  8. npm install mysql --save-dev

    npm install X: 会把X包安装到node_modules目录中 不会修改package.json 之后运行npm install命令时,不会自动安装X npm install X –sav ...

  9. 使用MyEclipse开发Java EE应用:用XDoclet创建EJB 2 Session Bean项目(五)

    MyEclipse限时秒杀!活动火热开启中>> [MyEclipse最新版下载] 六.部署到JBoss服务器 1. 右键单击Servers视图,然后选择New>Server,选择您安 ...

  10. React 源码剖析系列 - 不可思议的 react diff

      简单点的重复利用已有的dom和其他REACT性能快的原理. key的作用和虚拟节点 目前,前端领域中 React 势头正盛,使用者众多却少有能够深入剖析内部实现机制和原理. 本系列文章希望通过剖析 ...