function bandpass_pushbutton10_Callback(~, eventdata, handles) % hObject handle to bandpass_pushbutton10 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA)

global x; global Fs; global tl; global x2;

x1=x; % fp = [2000,3000]; % fs = [1800,3300]; % Wp = 2fp/Fs; % Ws = 2fs/Fs; % if(Wp >= 1) % Wp = 0.99; % end % if(Ws >= 1) % Ws = 0.99;
% end fp = get(handles.edit3,'string');
fp = str2double(fp)2; fs = get(handles.edit4,'string');
fs = str2double(fs)2; if get(handles.radiobutton1,'value') [n, Wn]=buttord(Wp,Ws, 2, 15); [b, a]=butter(n, Wn,'bandpass'); axes(handles.axes3); [h,w]=freqz(b,a); plot(w/piFs/2,abs(h)); x1=filter(b,a,x1); elseif get(handles.radiobutton4,'value') b2=fir1(30,[fp/Fs fs/Fs],boxcar(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/pi
Fs/2,20log(abs(h))); x1=fftfilt(b2,x1); elseif get(handles.radiobutton5,'value') b2=fir1(30,[fp/Fs fs/Fs], triang(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/piFs/2,20log(abs(h))); x1=fftfilt(b2,x1); elseif get(handles.radiobutton6,'value') b2=fir1(30,[fp/Fs fs/Fs],hamming(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/piFs/2,20log(abs(h))); x1=fftfilt(b2,x1); elseif get(handles.radiobutton7,'value') b2=fir1(30,[fp/Fs fs/Fs],hanning(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/piFs/2,20log(abs(h))); x1=fftfilt(b2,x1); elseif get(handles.radiobutton8,'value') b2=fir1(30,[fp/Fs fs/Fs],blackman(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/piFs/2,20log(abs(h))); x1=fftfilt(b2,x1); elseif get(handles.radiobutton9,'value') b2=fir1(30,[fp/Fs fs/Fs],kaiser(31)); axes(handles.axes3); [h,w]=freqz(b2, 1,512); plot(w/piFs/2,20log(abs(h))); x1=fftfilt(b2,x1); end; axes(handles.axes5); plot(tl,x1); title('高通滤波器作用下的波形图'); xlabel('鏃堕棿/s'); N=length(x1); df=Fs/N; w=[0:df:df(N-1)] - Fs/2; %棰戠巼灏哄害 X=fft(x1); X=fftshift(X); axes(handles.axes6); plot(w,abs(X)/max(abs(X))); axis([-10000,10000,0,1]); title('婊ら櫎鍣0鍚庤闊抽璋?'); xlabel('棰戠巼/Hz'); grid on; x2=x1;

代码逐句详细解释内容:该函数是用于实现带通滤波器的功能。首先,通过全局变量获取需要滤波的信号x、采样频率Fs、时间轴tl和滤波后的信号x2。然后,获取用户在界面上输入的通带频率和阻带频率,并根据所选滤波器类型(巴特沃斯、矩形、三角、汉明、汉宁、布莱克曼、Kaiser)进行滤波器的设计。滤波器设计完成后,对输入信号进行滤波处理,并在界面上显示滤波后的时域波形图和频谱图,并将滤波后的信号保存到全局变量x2中。

MATLAB 带通滤波器实现及可视化

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