《DSP using MATLAB》Problem 8.1

代码:
%% ------------------------------------------------------------------------
%% Output Info about this m-file
fprintf('\n***********************************************************\n');
fprintf(' <DSP using MATLAB> Problem 8.1 \n\n');
banner();
%% ------------------------------------------------------------------------ % digital resonator
%r = 0.8
%r = 0.9
r = 0.99
omega0 = pi/4; % corresponding system function Direct form
b0 = (1-r)*sqrt(1+r*r-2*r*cos(2*omega0)); % gain parameter
b = [b0 0 0]; % denominator
a = [1 -2*r*cos(omega0) r*r]; % numerator % precise resonant frequency and 3dB bandwidth
omega_r = acos((1+r*r)*cos(omega0)/(2*r));
delta_omega = 2*(1-r);
fprintf('\nResonant Freq is : %.4fpi unit, 3dB bandwidth is %.4f \n', omega_r/pi,delta_omega);
% [db, mag, pha, grd, w] = freqz_m(b, a); figure('NumberTitle', 'off', 'Name', 'Problem 8.1 Digital Resonator')
set(gcf,'Color','white'); subplot(2,2,1); plot(w/pi, db); grid on; axis([0 2 -60 10]);
set(gca,'YTickMode','manual','YTick',[-60,-30,0])
set(gca,'YTickLabelMode','manual','YTickLabel',['60';'30';' 0']);
set(gca,'XTickMode','manual','XTick',[0,0.25,0.5,1,1.5,1.75]);
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',[0,0.25,1,1.75,2]);
set(gca,'YTickMode','manual','YTick',[0,1.0]); 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');
set(gca,'XTickMode','manual','XTick',[0,0.25,1,1.75,2]);
%set(gca,'YTickMode','manual','YTick',[0,1.0]); figure('NumberTitle', 'off', 'Name', 'Problem 8.1 Pole-Zero Plot')
set(gcf,'Color','white');
zplane(b,a);
title(sprintf('Pole-Zero Plot, r=%.2f 0.25\\pi',r));
%pzplotz(b,a); % Impulse Response
fprintf('\n----------------------------------');
fprintf('\nPartial fraction expansion method: \n');
[R, p, c] = residuez(b,a)
MR = (abs(R))' % Residue Magnitude
AR = (angle(R))'/pi % Residue angles in pi units
Mp = (abs(p))' % pole Magnitude
Ap = (angle(p))'/pi % pole angles in pi units
[delta, n] = impseq(0,0,40);
h_chk = filter(b,a,delta); % check sequences %h = 2*0.1281* ( (0.5657*1.414) .^n) .* (cos(pi*n/4) + sin(pi*n/4)); % r=0.8
%h = 2*0.0673* ( (0.6364*1.414) .^n) .* (cos(pi*n/4) + sin(pi*n/4)); % r=0.9
h = 2*0.0070* ( (0.7000*1.414) .^n) .* (cos(pi*n/4) + sin(pi*n/4)); % r=0.99 figure('NumberTitle', 'off', 'Name', 'Problem 8.1 Digital Resonator, h(n) by filter and Inv-Z ')
set(gcf,'Color','white'); subplot(2,1,1); stem(n, h_chk); grid on; %axis([0 2 -60 10]);
xlabel('n'); ylabel('h\_chk'); title('Impulse Response sequences by filter'); subplot(2,1,2); stem(n, h); grid on; %axis([0 1 -100 10]);
xlabel('n'); ylabel('h'); title('Impulse Response sequences by Inv-Z'); [db, mag, pha, grd, w] = freqz_m(h, [1]); figure('NumberTitle', 'off', 'Name', 'Problem 8.1 Digital Resonator, h(n) by Inv-Z ')
set(gcf,'Color','white'); subplot(2,2,1); plot(w/pi, db); grid on; axis([0 2 -60 10]);
set(gca,'YTickMode','manual','YTick',[-60,-30,0])
set(gca,'YTickLabelMode','manual','YTickLabel',['60';'30';' 0']);
set(gca,'XTickMode','manual','XTick',[0,0.25,0.5,1,1.5,1.75]);
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',[0,0.25,1,1.75,2]);
%set(gca,'YTickMode','manual','YTick',[0,1.0]); 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');
set(gca,'XTickMode','manual','XTick',[0,0.25,1,1.75,2]);
%set(gca,'YTickMode','manual','YTick',[0,1.0]);
运行结果:

系统函数部分分式展开,

零极点的模和幅角:


用脉冲序列当输入得到脉冲响应序列h_chk(n),系统函数H(z)取逆z变换得h(n),二者如下图

h_chk(n)的幅度谱、相位谱、群延迟

h(n)的幅度谱、相位谱、群延迟

r=0.9、0.99的图这里就不放了。
《DSP using MATLAB》Problem 8.1的更多相关文章
- 《DSP using MATLAB》Problem 7.27
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《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: %% +++++++++++++++++++++++++++++++++++++ ...
- 《DSP using MATLAB》Problem 7.25
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《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: %% +++++++++++++++++++++++++++++++++++++++ ...
- 《DSP using MATLAB》Problem 7.23
%% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output Info a ...
- 《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: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...
- 《DSP using MATLAB》Problem 7.15
用Kaiser窗方法设计一个台阶状滤波器. 代码: %% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...
- 《DSP using MATLAB》Problem 7.14
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《DSP using MATLAB》Problem 7.13
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《DSP using MATLAB》Problem 7.12
阻带衰减50dB,我们选Hamming窗 代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...
随机推荐
- Linux网络配置 RPM命令 samba服务 Linux目录结构
第一种方法: (1)用root身份登录,运行setup命令进入到 text mode setup utiliy对网络进行配置,这里可以进行ip,子网掩码,默认网关,dns的设置.(2)这时网卡的配置没 ...
- css3的选择器
先来做一下准备工作 页面的效果: 看到上面的框框了吗?我们就是通过给这些框框添加背景色的方式,来让大家,了解css3的选择器的效果,下面正式开始: 关联选择器 E1~E2 选择 E1 后面的兄弟 E2 ...
- Python学习笔记(二)——列表
Python学习笔记(二)--列表 Python中的列表可以存放任何数据类型 >>> list1 = ['Hello','this','is','GUN',123,['I','Lov ...
- AM8互联设置方法
Am8互联设置 这个只需要部署在一个总部的AM8的 Oiorg所在机器上就可以 环境: Windows 2012 or windows 2008,IIS ,.Net4 AM8 数据库必须升级到:201 ...
- [JZOJ6278] 2019.8.5【NOIP提高组A】跳房子
题目 题目大意 给你一个矩阵,从\((1,1)\)开始,每次往右上.右.右下三个格子中权值最大的那个跳. 第一行上面是第\(n\)行,第\(m\)列右边是第\(1\)列.反之同理. 有两个操作:跳\( ...
- 把云数据库带回家!阿里云发布POLARDB Box数据库一体机
9月26日,2019杭州云栖大会上,阿里云宣布正式推出高性能数据库一体机——POLARDB Box,用户部署在自有数据中心即可享受云数据库的便捷体验,同时还为Oracle等传统数据库用户提供一键迁移功 ...
- thinkphp ajax返回
ThinkPHP可以很好的支持AJAX请求,系统的\Think\Controller类提供了ajaxReturn方法用于AJAX调用后返回数据给客户端.并且支持JSON.JSONP.XML和EVAL四 ...
- <每日一题>算法题:小球的下落距离
题目:小东和三个朋友一起在楼上抛小球,他们站在楼房的不同层,假设小东站的楼层距离地面N米,球从他手里自由落下,每次落地后反跳回上次下落高度的一半,并以此类推知道全部落到地面不跳,求4个小球一共经过了多 ...
- <python基础>封装,继承,多态,重写,重载
什么是封装? 所谓的面向对象就是将我们的程序模块化,对象化,把具体事物的特性属性和通过这些属性来实现一些动作的具体方法放到一个类里面,这就是封装.封装是我们所说的面相对象编程的特征之一.除此之外还有继 ...
- [AHOI2014/JSOI2014]骑士游戏
题目 思博贪心题写了一个半小时没救了,我也没看出这是一个\(spfa\)来啊 设\(dp_i\)表示彻底干掉第\(i\)只怪物的最小花费,一个非常显然的事情,就是对于\(k_i\)值最小的怪物满足\( ...