下雨了,大风降温,一地树叶,终于进入冬季了

代码:

%% ------------------------------------------------------------------------
%% Output Info about this m-file
fprintf('\n***********************************************************\n');
fprintf(' <DSP using MATLAB> Problem 8.46.4 \n\n'); banner();
%% ------------------------------------------------------------------------ % Digital Filter Specifications: Elliptic bandpass
wsbp = [0.30*pi 0.60*pi]; % digital stopband freq in rad
wpbp = [0.35*pi 0.50*pi]; % digital passband freq in rad
Rp = 1.00; % 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 fprintf('\n*******Digital bandpass, Coefficients of DIRECT-form***********\n');
[bbp, abp] = elipbpf(wpbp, wsbp, Rp, As)
[C, B, A] = dir2cas(bbp, abp) % Calculation of Frequency Response:
[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(wpbp(1)/delta_w+1):1:ceil(wpbp(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(wsbp(1)/delta_w)+1))); % Min Stopband attenuation
fprintf('\nMin Stopband attenuation is %.4f dB.\n\n', As_bp); %% -----------------------------------------------------------------
%% Plot
%% ----------------------------------------------------------------- figure('NumberTitle', 'off', 'Name', 'Problem 8.46.4 Elliptic bp by elipbpf 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, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0, 0.01, 0.8913, 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, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [-80, -40, -1, 0]);
set(gca,'YTickLabelMode','manual','YTickLabel',['80'; '40';'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, 0.35, 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, 80]); grid on;
xlabel('Digital frequency in \pi units'); ylabel('Samples'); title('Group Delay');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0:20:80]); figure('NumberTitle', 'off', 'Name', 'Problem 8.46.4 Pole-Zero Plot')
set(gcf,'Color','white');
zplane(bbp, abp);
title(sprintf('Pole-Zero Plot'));
%pzplotz(b,a); % -----------------------------------------------------
% method 3 elip function
% ----------------------------------------------------- % Calculation of Elliptic filter parameters:
[N, wn] = ellipord(wpbp/pi, wsbp/pi, Rp, As); fprintf('\n ********* Elliptic Digital Bandpass Filter Order is = %3.0f \n', 2*N) % Digital Elliptic Bandpass Filter Design:
[bbp, abp] = ellip(N, Rp, As, wn) [C, B, A] = dir2cas(bbp, abp) % Calculation of Frequency Response:
[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(wpbp(1)/delta_w+1):1:ceil(wpbp(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(wsbp(1)/delta_w)+1))); % Min Stopband attenuation
fprintf('\nMin Stopband attenuation is %.4f dB.\n\n', As_bp); %% -----------------------------------------------------------------
%% Plot
%% ----------------------------------------------------------------- figure('NumberTitle', 'off', 'Name', 'Problem 8.46.4 Elliptic bp by ellip 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, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0, 0.01, 0.8913, 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, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [-80, -40, -1, 0]);
set(gca,'YTickLabelMode','manual','YTickLabel',['80'; '40';'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, 0.35, 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, 100]); grid on;
xlabel('Digital frequency in \pi units'); ylabel('Samples'); title('Group Delay');
set(gca, 'XTickMode', 'manual', 'XTick', [0, 0.3, 0.35, 0.5, 0.6, M]);
set(gca, 'YTickMode', 'manual', 'YTick', [0:30:90]);

  运行结果:

看题目,是Elliptic型数字带通,设计指标,DB转换成绝对指标

Elliptic模拟低通原型阶数是4,使用elipbpf函数设计带通,系统函数直接形式和串联形式的系数如下,

幅度谱、相位谱和群延迟响应

零极点图

采用elip函数(MATLAB工具箱函数),设计带通,阶数是8阶,系统函数直接形式和串联形式的系数如下

幅度谱、相位谱和群延迟响应

给定通带、阻带衰减处的精确频带边界频率,我暂时不会计算,以后学会了再放图吧。

《DSP using MATLAB》Problem 8.46的更多相关文章

  1. 《DSP using MATLAB》Problem 7.13

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

  2. 《DSP using MATLAB》Problem 3.4

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

  3. 《DSP using MATLAB》Problem 8.45

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

  4. 《DSP using MATLAB》Problem 8.44

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

  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 7.25

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

  8. 《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: %% +++++++++++++++++++++++++++++++++++++++ ...

  9. 《DSP using MATLAB》Problem 7.23

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

随机推荐

  1. python 调用redis

    #!/usr/bin/env python #_*_ coding:UTF-8 _*_ import redis import pickle #普通连接 ''' db="db1" ...

  2. 测试常用——linux 基础命令

    测试常用 的 linux 基础命令 1,查看服务器日志vi 查看文件(查找关键字:exception/exception  :  从上往下找,按n查找下一个关键字,按shift+n查找上一个关键字?e ...

  3. Codeforces 1176B - Merge it!

    题目链接:http://codeforces.com/problemset/problem/1176/B 题意:给定序列,任意俩个元素可以相加成一个元素,求序列元素能被3整除的最大数量. 思路: 对于 ...

  4. Java通道

    通道(Channel)是数据源和Java程序之间的开放连接,用于执行I/O操作.Channel接口在java.nio.channels包中.通道(Channel)接口只声明了两个方法:close()和 ...

  5. Invalidate() InvalidateRect() 与 UpdateWindow()

    按引:Invalidate在消息队列中加入一条WM_PAINT消息,其无效区为整个客户区.而UpdateWindow直接发送一个WM_PAINT消息,其无效区范围就是消息队列中WM_PAINT消息(最 ...

  6. sed命令详解 (转载)

    sed是stream editor的简称,也就是流编辑器.它一次处理一行内容,处理时,把当前处理的行存储在临时缓冲区中,称为“模式空间”(pattern space),接着用sed命令处理缓冲区中的内 ...

  7. hdu6354 /// 线段树

    题目大意: 给定n m x y z 长度为n的序列初始为0 接下来m个操作 l r v 将l r区间内比v小的数都变成v l r v由x y z和给定的函数生成 线段树维护区间 最大值 最小值 再加 ...

  8. 一键获取Android的appActvity和PackName

    大家平常写Appium自动化时,可能写脚本半小时,得有5分钟用来去看Activity,大部分都是通过adb命令的方式来获取.为了提高效率,可以把这个命令放到python里去执行,然后根据规则去筛选出自 ...

  9. creat-react-app搭建的项目中按需引入antd以及配置Less和如何修改antd的主题色

    在creat-react-app搭建的项目环境中按需引入antd以及配置less,首先需要暴露出来webpack文件.(此操作不可逆). create-react-app myapp 创建同一个rea ...

  10. Mysql事务学习笔记

    Mysql事务学习笔记 1.事务概述 事务是数据库的执行单元,它包含了一条或多条sql语句,进行的操作是要么全部执行,要么全部都不执行. 2.事务执行命令 语法格式: start transactio ...