Thursday, August 31, 2017

TAPIS FIR BERBASIS JENDELA KAISER UNTUK MENAPIS SINYAL AUDIO DIGITAL



















Berikut telah dirancang GUI MATLAB yang mengaplikasikan jendela Kaiser sebagai tapis lowpass, bandpass, bandstop, dan highpass. Tapis-tapis ini juga diterapkan untuk menapis audio digital.

Berikut adalah kode sumber callback dari tombol Lowpass:

function Lowpass_Callback(hObject, eventdata, handles)
% hObject    handle to Lowpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if(omega1s > omega1p)
   
%Menghitung frek cut-ff dan lebar pita
tr_lebar=omega1s-omega1p;
M=ceil((-A1s-7.95)/(14.36*tr_lebar/(2*pi))+1)+1
n=[0:1:M-1];
beta=0.1102*(-A1s-8.7)
wc=(omega1s+omega1p)/2;                 %frekuensi cut-off ideal

%Tanggapan tapis ideal
hd=lp_ideal(wc,M);

%Tanggapan tapis aktual
w_kai=(kaiser(M,beta))';
h=hd.*w_kai;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);

delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega1p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega1s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_kai,'color','r'); title('Jendela Kaiser');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1s Harus Lebih Besar dari Omega1p');
end

%Menyimpan data global
global lowpass
lowpass = h;


Berikut adalah kode sumber callback dari tombol Bandpass:

function Bandpass_Callback(hObject, eventdata, handles)
% hObject    handle to Bandpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if((omega1p > omega1s)&&(omega2s > omega2p))
   
%Menghitung frek cut-ff dan lebar pita
tr_lebar=min((omega1p-omega1s),(omega2s-omega2p));
M=ceil((-A1s-7.95)/(14.36*tr_lebar/(2*pi))+1)+1
n=[0:1:M-1];
beta=0.1102*(-A1s-8.7)
wc1=(omega1s+omega1p)/2; wc2=(omega2s+omega2p)/2;               %frekuensi cut-off ideal

%Tanggapan tapis ideal untuk bandpass
hd=lp_ideal(wc2,M)-lp_ideal(wc1,M);

%Tanggapan tapis aktual
w_kai=(kaiser(M,beta))';
h=hd.*w_kai;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(omega1p/delta_w+1:1:omega2p/delta_w))) % riak passband aktual
As=round(max(db(omega2s/delta_w+1:1:501)))   % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_kai,'color','r'); title('Jendela Kaiser');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1p Harus Lebih Besar dari Omega1s dan Omega2s Harus Lebih Besar dari Omega2p');
end

%Menyimpan data global
global bandpass

bandpass = h;


Berikut adalah kode sumber callback dari tombol Bandstop:

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

global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if((omega1s > omega1p)&&(omega2p > omega2s))

%Menghitung frek cut-ff dan lebar pita
tr_lebar=min((omega1s-omega1p),(omega2p-omega2s));
M=ceil((-A1s-7.95)/(14.36*tr_lebar/(2*pi))+1)+1
n=[0:1:M-1];

beta=0.1102*(-A1s-8.7)


wc1=(omega1s+omega1p)/2; wc2=(omega2s+omega2p)/2;               %frekuensi cut-off ideal

%Tanggapan tapis ideal untuk bandstop
hd=lp_ideal(wc1,M)+lp_ideal(pi,M)-lp_ideal(wc2,M);

%Tanggapan tapis aktual
w_kai=(kaiser(M,beta))';
h=hd.*w_kai;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega1p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega1s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_kai,'color','r'); title('Jendela Kaiser');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1s Harus Lebih Besar dari Omega1p dan Omega2p Harus Lebih Besar dari Omega2s');
end

%Menyimpan data global
global bandstop
bandstop = h;


Berikut adalah kode sumber callback dari tombol Highpass:

function Highpass_Callback(hObject, eventdata, handles)
% hObject    handle to Highpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if(omega2s > omega2p)

 %Menghitung frek cut-ff dan lebar pita
tr_lebar=omega2s-omega2p;
M=ceil((-A2s-7.95)/(14.36*tr_lebar/(2*pi))+1)+1
n=[0:1:M-1];
beta=0.1102*(-A2s-8.7)
wc=(omega2s+omega2p)/2;                 %frekuensi cut-off ideal

%Tanggapan tapis ideal
hd=lp_ideal(pi,M)-lp_ideal(wc,M);

%Tanggapan tapis aktual
w_kai=(kaiser(M,beta))';
h=hd.*w_kai;
   


%Tanggapan frekuensi

[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega2p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega2s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_kai,'color','r'); title('Jendela Kaiser');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega2s Harus Lebih Besar dari Omega2p');
end

%Menyimpan data global
global highpass
highpass = h;



TAPIS FIR BERBASIS JENDELA HAMMING UNTUK MENAPIS SINYAL AUDIO




















Berikut telah dirancang GUI MATLAB yang mengaplikasikan jendela Hamming sebagai tapis lowpass, bandpass, bandstop, dan highpass. Tapis-tapis ini juga diterapkan untuk menapis audio digital.

Berikut adalah kode sumber callback dari tombol Lowpass:

function Lowpass_Callback(hObject, eventdata, handles)
% hObject    handle to Lowpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if(omega1s > omega1p)
%Menghitung
tr_lebar=omega1s-omega1p;
M=ceil(6.6*pi/tr_lebar)+1
n=[0:1:M-1];
wc=(omega1s+omega1p)/2;                 %frekuensi cut-off ideal

%Tanggapan tapis ideal
hd=lp_ideal(wc,M);

%Tanggapan tapis aktual
w_ham=(hamming(M))';
h=hd.*w_ham;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega1p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega1s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_ham,'color','r'); title('Jendela Hamming');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1s Harus Lebih Besar dari Omega1p');
end

%Menyimpan data global
global lowpass
lowpass = h;


Berikut adalah kode sumber callback dari tombol Bandpass:

function Bandpass_Callback(hObject, eventdata, handles)
% hObject    handle to Bandpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if((omega1p > omega1s)&&(omega2s > omega2p))
%Menghitung
tr_lebar=min((omega1p-omega1s),(omega2s-omega2p));
M=ceil(6.6*pi/tr_lebar)+1
n=[0:1:M-1];
wc1=(omega1s+omega1p)/2; wc2=(omega2s+omega2p)/2;

%Tanggapan tapis ideal untuk bandpass
hd=lp_ideal(wc2,M)-lp_ideal(wc1,M);

%Tanggapan tapis aktual
w_ham=(hamming(M))';
h=hd.*w_ham;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(omega1p/delta_w+1:1:omega2p/delta_w))) % riak passband aktual
As=round(max(db(omega2s/delta_w+1:1:501)))   % attenuasi stopband minimum


%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_ham,'color','r'); title('Jendela Hamming');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1p Harus Lebih Besar dari Omega1s dan Omega2s Harus Lebih Besar dari Omega2p');
end

%Menyimpan data global
global bandpass
bandpass = h;

Berikut adalah kode sumber callback dari tombol Bandstop:

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

global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if((omega1s > omega1p)&&(omega2p > omega2s))
%Menghitung
tr_lebar=min((omega1s-omega1p),(omega2p-omega2s));
M=ceil(6.6*pi/tr_lebar)+1
n=[0:1:M-1];
wc1=(omega1s+omega1p)/2; wc2=(omega2s+omega2p)/2;

%Tanggapan tapis ideal untuk bandstop

hd=lp_ideal(wc1,M)+lp_ideal(pi,M)-lp_ideal(wc2,M);

%Tanggapan tapis aktual
w_ham=(hamming(M))';
h=hd.*w_ham;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega1p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega1s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_ham,'color','r'); title('Jendela Hamming');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.5]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega1s Harus Lebih Besar dari Omega1p dan Omega2p Harus Lebih Besar dari Omega2s');
end

%Menyimpan data global
global bandstop
bandstop = h;

Berikut adalah kode sumber callback dari tombol Highpass:
function Highpass_Callback(hObject, eventdata, handles)
% hObject    handle to Highpass (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global x;

% Membaca semua parameter tapis
omega1s = str2num(get(handles.omega1s,'String'));
omega2s = str2num(get(handles.omega2s,'String'));
omega1p = str2num(get(handles.omega1p,'String'));
omega2p = str2num(get(handles.omega2p,'String'));
A1s = str2num(get(handles.A1s,'String'));
A2s = str2num(get(handles.A2s,'String'));
R1p = str2num(get(handles.R1p,'String'));
R2p = str2num(get(handles.R2p,'String'));

%Mengalikan dengan pi
omega1s = omega1s * pi;
omega1p = omega1p * pi;
omega2s = omega2s * pi;
omega2p = omega2p * pi;

if(omega2s > omega2p)
%Menghitung
tr_lebar=omega2s-omega2p;
M=ceil(6.6*pi/tr_lebar)+1
n=[0:1:M-1];
wc=(omega2s+omega2p)/2;                 %frekuensi cut-off ideal

%Tanggapan tapis ideal
hd=lp_ideal(pi,M)-lp_ideal(wc,M);

%Tanggapan tapis aktual
w_ham=(hamming(M))';
h=hd.*w_ham;

%Tanggapan frekuensi
[db,mag,pha,grd,w]=freqz_m(h,[1]);
delta_w=2*pi/1000;

%Menghitung riak dan atenuasi
Rp=(min(db(1:1:omega2p/delta_w+1)))         % riak passband aktual
As=round(max(db(omega2s/delta_w+1:1:501)))  % attenuasi stopband minimum

%Menampilkan tanggapan impuls ideal
axes(handles.axes7);
stem(n,hd,'color','r'); title('Respon impuls ideal');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('hd(n)');
set(gca,'color',[0,0,0]);

%Menampilkan jendela Hamming
axes(handles.axes8);
stem(n,w_ham,'color','r'); title('Jendela Hamming');
axis([0 M-1 0 1.1]);xlabel('n'); ylabel('wn');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan impuls aktual
axes(handles.axes9);
stem(n,h,'color','r');title('Respon impuls aktual');
axis([0 M-1 -0.1 0.3]);xlabel('n'); ylabel('h(n)');
set(gca,'color',[0,0,0]);

%Menampilkan tanggapan dalam dB
axes(handles.axes3);
plot(w/pi,db,'color','r', 'LineWidth' ,2);title('Respon magnitudo dalam dB'); grid on;
axis([0 1 -100 10]);xlabel('frekuensi dalam unit pi'); ylabel('dB');
set(gca,'color',[0,0,0]);

% Menghitung Hasil Penapisan
y = conv(double(x),double(h), 'same');
axes(handles.axes2);
t = 0:length(y)-1;  %vektor indeks
stem(t,y,'linewidth',1,'color','y');title('Keluaran Tapis')
set(gca,'color',[0,0,0]);

else
    h = msgbox('Omega2s Harus Lebih Besar dari Omega2p');
end

%Menyimpan data global
global highpass
highpass = h;