A list,

1 Design Principle



1.1 Filter Concept



1.2 System function and difference equation of digital filter



1.3 Representation of digital filter structure





1.4 Classification of digital filters





2.1 Comparison of IIR filter and FIR filter



2.2 Principle of FIR filter

















3 simulation steps of FIR filter



Ii. Source code

function varargout = nain1(varargin)
% NAIN1 MATLAB code for nain1.fig
%      NAIN1, by itself, creates a new NAIN1 or raises the existing
%      singleton*.
%
%      H = NAIN1 returns the handle to a new NAIN1 or the handle to
%      the existing singleton*.
%
%      NAIN1('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in NAIN1.M with the given input arguments.
%
%      NAIN1('Property','Value',...) creates a new NAIN1 or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before nain1_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to nain1_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
 
% Edit the above text to modify the response to help nain1
 
% Last Modified by GUIDE v2.5 07-Jan-2020 15:57:07
 
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @nain1_OpeningFcn, ...
                   'gui_OutputFcn',  @nain1_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end
 
if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
 
 
% --- Executes just before nain1 is made visible.
function nain1_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to nain1 (see VARARGIN)
 
% Choose default command line output for nain1
handles.output = hObject;
 
% Update handles structure
guidata(hObject, handles);
 
% UIWAIT makes nain1 wait for user response (see UIRESUME)
% uiwait(handles.figure1);
 
 
% --- Outputs from this function are returned to the command line.
function varargout = nain1_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
 
% Get default command line output from handles structure
varargout{1} = handles.output;
 
 
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
Fs = 1500;
t = 1:1/Fs:6;
t=t(1:5000);
%写入chirp.wav文件
[pyr1,fs]=audioread('1.wav');%声音读取
pyr=pyr1(1:5000);
n=length(pyr);
pyr1=fft(pyr,n); %快速傅里叶变换
f=Fs*(0:n/2 - 1)/n;
 
noise1=0.1*sin(20*pi*t);%低频噪声
x1=pyr+noise1;%加低频噪声信号
n=length(t); %画出加噪之后,其时域频域
S=abs(fft(pyr));%原始信号傅里叶变换
y1=abs(fft(x1));%原始信号傅里叶变换
handles.axes1;
subplot(121);
plot(pyr);
xlabel('时间');
ylabel('幅度');
title('原始信号波形'); %绘出时域波
subplot(122)
plot(S((1:length(S)/2)));
xlabel('频率');
ylabel('幅度');
title('原始信号频谱');
%% IIR频率变换法
%% 双线性变换法
% 2.1低通
Rp=3;%通带最大衰减dB
Rs=10;%阻带最小衰减dB
Wp=1000;%通带截止频率
Ws=1200;%阻带截止频率
[N,wn]=buttord(Wp,Ws,Rp,Rs,'s');
[b,a,k]=buttap(N);
[A,B,C,D]=zp2ss(b,a,k);
[A,B,C,D]=lp2lp(A,B,C,D,wn);%type='底通';
[b,a]=ss2tf(A,B,C,D);
[b21,a21]=bilinear(b,a,Fs);
[h21,w21]=freqz(b21,a21);         %根据参数求出频率响应
x21=filter(b21,a21,x1); % 进行低通滤波
y21=abs(fft(x21));  % 对滤波后信号做len点FFT变换
%2.3 切比雪夫I型滤波器 高通
Rp2=2;%通带最大衰减dB
Rs2=20;%阻带最小衰减dB
Wp2=3000;%通带截止频率
Ws2=3200;%阻带截止频率
[N,wn]=cheb1ord(Wp2,Ws2,Rp2,Rs2,'s');%求模拟的低通滤波器阶数和截止频率
[b,a,k]=cheb1ap(N,Rp2); %求S域的频率响应的参数
[A,B,C,D]=zp2ss(b,a,k);%阻带截止频率
[A,B,C,D]=lp2hp(A,B,C,D,wn);%type='高通';
[b,a]=ss2tf(A,B,C,D);%状态方程向传递函数转变
[b23,a23]=bilinear(b,a,Fs);%利用双线性变换实现S域到Z域转换
[h23,w23]=freqz(b23,a23);
x23=filter(b23,a23,x1); % 进行稿通滤波
y23=abs(fft(x23));  % 对滤波后信号做len点FFT变换
% 带通滤波器
Rp3=1;
Rs3=100;
Wp1=1200;
Ws1=1000;
Wp2=3000;
Ws2=3200;
Wp3=[Wp1,Wp2];
Ws3=[Ws1,Ws2];
%wp和ws分别是通带和阻带的频率(截止频率)。当wp和ws为二元矢量时,为带通或带阻滤波器,这时求出的Wn也是二元矢量;当wp和ws为一元矢量时,为低通或高通滤波器:当wp<ws时为低通滤波器,当wp>ws时为高通滤波器。
%wp和ws为二元矢量
Wp3=[1200 3000];                %设置通带频率
Ws3=[1000 3200];                %设置阻带频率
Rp3=1;                                   %设置通带波纹系数
Rs3=20;                                  %设置阻带波纹系数 
[N,wn]=buttord(Wp3,Ws3,Rp3,Rs3,'s');
[b,a,k]=buttap(N);
[A,B,C,D]=zp2ss(b,a,k);
Wn=Wp2-Wp1;
Wo=sqrt(Wp2*Wp1);
[A,B,C,D]=lp2bp(A,B,C,D,Wo,Wn);% type='带通';
[num22,den22]=ss2tf(A,B,C,D);
% [b,a]=impinvar(num23,den23,Fs);
[b22,a22]=bilinear(num22,den22,Fs);%双线性变换实现S域到Z域的转换
[h22,w22]=freqz(b22,a22);                  %根据参数求出频率响应
x22=filter(b22,a22,x1); % 进行低通滤波
y22=abs(fft(x22));  % 对滤波后信号做len点FFT变换
 
%% FIR窗函数
% 3.1 低通滤波器
%该函数采用hanning窗实现低通滤波
fp=1000;%通带截止频率
fs=2000;%阻带起始频率
FS=8000;
wp=2*pi*fp/FS;%将模拟通带截止频率转换为数字滤波器频率
ws=2*pi*fs/FS;%将模拟阻带起始频率转换为数字滤波器频率
wn=(wp+ws)/2/pi;%标准化的截止频率响应
Bt=ws-wp;
N0=ceil(6.2*pi/Bt);%滤波器长度
N=N0+mod(N0+1,2);
%设计加窗函数fir1
[b31,a31]=fir1(N-1,wn,hanning(N));
[h31,w31]=freqz(b31,a31,FS);                     %得到频率响应
x31=filter(b31,a31,x1); % 进行低通滤波
y31=abs(fft(x31));  % 对滤波后信号做len点FFT变换
 
% 3.2 通带滤波
Fs=8000;
fp1=1200;%通带下限截止频率
fp2=3000;%通带上限截止频率
fs1=1000;
fs2=3200;
wp1=2*pi*fp1/Fs;%将通带下限截止频率转换为数字滤波器频率
wp2=2*pi*fp2/Fs;%将通带上限截止频率转换为数字滤波器频率
ws1=2*pi*fs1/Fs;%将通带下限截止频率转换为数字滤波器频率
ws2=2*pi*fs2/Fs;%将通带上限截止频率转换为数字滤波器频率
Bt=wp1-ws1;
N0=ceil(6.2*pi/Bt);
N=N0+mod(N0+1,2);
wn=[(wp1+ws1)/2/pi,(wp2+ws2)/2/pi];
%设计加窗函数fir1
[b32,a32]=fir1(N-1,wn,'bandpass',hanning(N));
%求滤波器的幅频响应
[h32,w32]=freqz(b32,a32,FS);
x32=filter(b32,a32,x1);
y32=abs(fft(x32));  % 对滤波后信号做len点FFT变换
 
 
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3. Operation results









Fourth, note

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