《DSP using MATLAB》Problem 8.37

代码:
%% ------------------------------------------------------------------------
%% Output Info about this m-file
fprintf('\n***********************************************************\n');
fprintf(' <DSP using MATLAB> Problem 8.37 \n\n'); banner();
%% ------------------------------------------------------------------------ % Digital Filter Specifications: Chebyshev-2 bandpass
ws = [0.30*pi 0.60*pi]; % digital stopband freq in rad
wp = [0.40*pi 0.50*pi]; % digital passband freq in rad
Rp = 0.50; % passband ripple in dB
As = 50; % stopband attenuation in dB Ripple = 10 ^ (-Rp/20) % passband ripple in absolute
Attn = 10 ^ (-As/20) % stopband attenuation in absolute % Calculation of Chebyshev-2 filter parameters:
[N, wn] = cheb2ord(wp/pi, ws/pi, Rp, As); fprintf('\n ********* Chebyshev-2 Digital Bandpass Filter Order is = %3.0f \n', 2*N) % Digital Chebyshev-2 Bandpass Filter Design:
[bbp, abp] = cheby2(N, As, wn); [C, B, A] = dir2cas(bbp, abp) % Calculation of Frequency Response:
%[dblp, maglp, phalp, grdlp, wwlp] = freqz_m(blp, alp);
[dbbp, magbp, phabp, grdbp, wwbp] = freqz_m(bbp, abp); % ---------------------------------------------------------------
% find Actual Passband Ripple and Min Stopband attenuation
% ---------------------------------------------------------------
delta_w = 2*pi/1000;
Rp_bp = -(min(dbbp(ceil(wp(1)/delta_w+1):1:ceil(wp(2)/delta_w+1)))); % Actual Passband Ripple fprintf('\nActual Passband Ripple is %.4f dB.\n', Rp_bp); As_bp = -round(max(dbbp(1:1:ceil(ws(1)/delta_w)+1))); % Min Stopband attenuation
fprintf('\nMin Stopband attenuation is %.4f dB.\n\n', As_bp); %% -----------------------------------------------------------------
%% Plot
%% ----------------------------------------------------------------- figure('NumberTitle', 'off', 'Name', 'Problem 8.37 Chebyshev-2 bp by cheby2 function')
set(gcf,'Color','white');
M = 1; % Omega max subplot(2,2,1); plot(wwbp/pi, magbp); axis([0, M, 0, 1.2]); grid on;
xlabel('Digital frequency in \pi units'); ylabel('|H|'); title('Magnitude Response');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.4, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0, 0.9441, 1]); subplot(2,2,2); plot(wwbp/pi, dbbp); axis([0, M, -100, 2]); grid on;
xlabel('Digital frequency in \pi units'); ylabel('Decibels'); title('Magnitude in dB');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.4, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [-80, -50, -1, 0]);
set(gca,'YTickLabelMode','manual','YTickLabel',['80'; '50';'1 ';' 0']); subplot(2,2,3); plot(wwbp/pi, phabp/pi); axis([0, M, -1.1, 1.1]); grid on;
xlabel('Digital frequency in \pi nuits'); ylabel('radians in \pi units'); title('Phase Response');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.4, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [-1:0.5:1]); subplot(2,2,4); plot(wwbp/pi, grdbp); axis([0, M, 0, 40]); grid on;
xlabel('Digital frequency in \pi units'); ylabel('Samples'); title('Group Delay');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.4, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0:10:40]);
运行结果:
通带、阻带绝对指标

用cheby2函数(MATLAB自带),设计数字低通原型滤波器,阶数为5,系统函数串联形式的系数为

Chebyshev-2型数字低通,幅度谱、相位谱和群延迟响应

《DSP using MATLAB》Problem 8.37的更多相关文章
- 《DSP using MATLAB》Problem 5.37
证明过程: 代码: %% +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...
- 《DSP using MATLAB》Problem 7.37
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《DSP using MATLAB》Problem 8.32
代码: %% ------------------------------------------------------------------------ %% Output Info about ...
- 《DSP using MATLAB》Problem 7.36
代码: %% ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ %% Output In ...
- 《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 ...
随机推荐
- 七牛云-C#SDK-上传-前期准备
1.创建一个asp.net core MVC 程序(这里随便) 这是一个空的程序 2.创建UploadController 3.添加引用 Install-Package Newtonsoft.Json ...
- bootstrapValidator--表单校验
关于表单校验 要依次引入 <link rel="stylesheet" href="./bootstrap/css/bootstrap.min.css"& ...
- SQL Server中配置ODBC数据源
单击“开始→windows系统→控制面板”,打开控制面板 单击“管理工具→ODBC数据源(32位)”打开ODBC数据源配置对话框 在数据源配置对话框中单击“系统DSN”选项卡下的“添加”按钮,创建数据 ...
- 七种数据库中Select Top的使用方法 (只显示数据库的几条记录)
七种数据库中Select Top的使用方法 1. Oracle数据库 SELECT * FROM TABLENAME WHERE ROWNUM <= N 2. Infomix数据库 SELE ...
- android 插件化框架VitualAPK
推荐阅读: 滴滴Booster移动App质量优化框架-学习之旅 一 Android 模块Api化演练 不一样视角的Glide剖析(一) LeakCanary 与 鹅场Matrix ResourceCa ...
- kafka拦截器原理|案例实操
拦截器原理 Producer拦截器(interceptor)是在Kafka 0.10版本被引入的,主要用于实现clients端的定制化控制逻辑. 对于producer而言,interceptor使得用 ...
- 9.3.2 The force and release procedural statements
Frm: IEEE Std 1364™-2001, IEEE Standard Verilog® Hardware Description Language Another form of proce ...
- jquery操作html元素之( 获取并设置 CSS 类)
jQuery 操作 CSS jQuery 拥有若干进行 CSS 操作的方法.我们将学习下面这些: addClass() - 向被选元素添加一个或多个类 removeClass() - 从被选元素删除一 ...
- 16-MySQL-Ubuntu-数据表的查询-分组与聚合(五)
分组(group by)一般与聚合结合使用 (1)查询按性别分组 select gender from students group by gender; (2)查询按性别分组并统计每组的数量sele ...
- ATC/TC/CF
10.25 去打 CF,然后被 CF 打了. CF EDU 75 A. Broken Keyboard 精神恍惚,WA 了一发. B. Binary Palindromes 比赛中的憨憨做法,考虑一个 ...