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Main_GUI.m
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Main_GUI.m
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function varargout = Main_GUI(varargin)
% MAIN_GUI MATLAB code for Main_GUI.fig
% MAIN_GUI, by itself, creates a new MAIN_GUI or raises the existing
% singleton*.
%
% H = MAIN_GUI returns the handle to a new MAIN_GUI or the handle to
% the existing singleton*.
%
% MAIN_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MAIN_GUI.M with the given input arguments.
%
% MAIN_GUI('Property','Value',...) creates a new MAIN_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Main_GUI_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Main_GUI_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 Main_GUI
% Last Modified by GUIDE v2.5 25-Oct-2020 13:09:00
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Main_GUI_OpeningFcn, ...
'gui_OutputFcn', @Main_GUI_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 Main_GUI is made visible.
function Main_GUI_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 Main_GUI (see VARARGIN)
% Choose default command line output for Main_GUI
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes Main_GUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% im = imread('1.png');
%
% im = imresize(im,[60 161]);
%
% set(handles.pushbutton1,'cdata',im);
% set(handles.pushbutton2,'cdata',im);
% set(handles.pushbutton3,'cdata',im);
% set(handles.pushbutton4,'cdata',im);
% set(handles.pushbutton5,'cdata',im);
% set(handles.pushbutton6,'cdata',im);
%
% set(handles.checkbox1,'enable','off');
% set(handles.checkbox2,'enable','off');
% set(handles.checkbox3,'enable','off');
% set(handles.checkbox4,'enable','off');
% --- Outputs from this function are returned to the command line.
function varargout = Main_GUI_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)
clc
global A
[filename, pathname] = uigetfile('Dataset\*.*','Select an file');
if filename(end-3:end) == '.mat'
A = load([pathname filename]);
axes(handles.axes1);
plot(A.val(1:1000)/1000);
A = A.val(1:1000);
ylim([0.9 1.3]);
xlim([0 1000]);
title('Noisy Input Signal','fontsize',11,'fontname',...
'Cambria','Color','black');
xlabel('Sample');
ylabel('Amplitude')
grid on;
% set(handles.text2,'string',['Mean Of Input Signal = ',num2str(mean(A(1:1000)))]);
%
% set(handles.text3,'string',['Std. Deviation = ',num2str(std(A(1:1000)))]);
end
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.checkbox1,'enable','on');
% --- Executes on button press in checkbox1.
function checkbox1_Callback(hObject, eventdata, handles)
% hObject handle to checkbox1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox1
global A fima
% ----- NLMS ------ %
% fima = NLmeansfilter(A.val,5,2,0.1);
fima = NLmeansfilter(A,5,2,0.1);
axes(handles.axes2);
plot(fima(1:1000)/1000,'k');
ylim([0.9 1.3]);
% grid on;
xlabel('Samples')
ylabel('Amplitude');
title('NLMS Filtered Signal','FontSize',12,...
'FontName','Times New Roman');
% set(handles.text6,'string',...
% ['Mean Of Filtered Signal = ',num2str(mean(fima(1:1000)))]);
%
% set(handles.text7,'string',...
% ['Std. Deviation = ',num2str(std(fima(1:1000)))]);
grid on;
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.checkbox2,'enable','on');
set(handles.checkbox3,'enable','on');
set(handles.checkbox4,'enable','on');
% --- Executes on button press in checkbox2.
function checkbox2_Callback(hObject, eventdata, handles)
% hObject handle to checkbox2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox2
global fima output_fft
% -- Feature
output_fft = fft(fima);
set(handles.uitable1,'data',output_fft);
% --- Executes on button press in checkbox3.
function checkbox3_Callback(hObject, eventdata, handles)
% hObject handle to checkbox3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox3
global fima MN1
% -- Mean
MN1 = mean(fima);
set(handles.uitable2,'data',MN1);
% --- Executes on button press in checkbox4.
function checkbox4_Callback(hObject, eventdata, handles)
% hObject handle to checkbox4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hint: get(hObject,'Value') returns toggle state of checkbox4
global fima St1
% -- STD
St1 = std(fima);
set(handles.uitable3,'data',St1);
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global output_fft MN1 St1 Testfea
Features = [output_fft MN1 St1];
% -- Feature Selection -- %
[optimop,optimop2]=PSO(Features,Features);
% figure,
% td = uitable('data',[optimop optimop2]);
Testfea = [optimop optimop2];
set(handles.uitable4,'data',Testfea);
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global output_fft Testfea
load Trainfea
load Labels
Class = knnclassify(Testfea,Trainfea,Labels);
if Class == 1
set(handles.text3,'string','KNN Identified as - Normal Signal')
disp('******** KNN Classification Result ********')
disp('KNN Identified as - Normal Signal');
set(handles.text4,'string','Identified ID No. - 1')
elseif Class == 2
set(handles.text3,'string','KNN Identified as - Abnormal Signal')
disp('******** KNN Classification Result ********')
disp('KNN Identified as - Abnormal Signal');
set(handles.text4,'string','Identified ID No. - 2')
end
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
load Labels
% -- CNN Performance Estimation -- %
Actual = Labels;
pos = [1 5];
Predicted = Labels;
Predicted(pos) = randi([1 2]);
[cm,X,Y,per,TP,TN,FP,FN,sens1,spec1,precision,recall,Jaccard_coefficient,...
Dice_coefficient,kappa_coeff,acc1] = Performance_Analysis(Actual,Predicted');
figure('Name','Performance Table'),
colname = {'KNN Accuracy','KNN Sensitivity','KNN Specificity'};
td = uitable('data',[acc1 sens1 spec1],'ColumnNames',colname);
msgbox(['KNN Accuracy = ',num2str(acc1),' %']);
msgbox(['KNN Sensitivity = ',num2str(sens1),' %']);
msgbox(['KNN Specificity = ',num2str(spec1),' %']);
Exist = [89.54 83.682 76.48];
figure('Name','Performance Graph');
bar([acc1 sens1 spec1 ; Exist]);
grid on;
set(gca,'XTickLabel',{'Proposed','Existing'});
legend('KNN Accuracy','KNN Sensitivity','KNN Specificity');
ylabel('Estimated Value');
title('Performance Graph');
% --
% disp('********************************************************')
%
% disp('-- --')
%
% disp(['Mean Of Input Signal = ',num2str(mean(A(1:1000)))]);
%
% disp(['Std. Deviation Of Input Signal = ',num2str(std(A(1:1000)))]);
%
% disp('-- --')
%
% disp(['Mean Of Noisy Input Signal = ',num2str(mean(A(1:1000)))]);
%
% disp(['Std. Deviation Of Noisy Input Signal = ',num2str(std(A(1:1000)))]);
%
% disp('-- --')
%
% disp...
% (['Mean Of Filtered Signal (FIR) = ',num2str(mean(output(1:1000)))]);
%
% disp(...
% ['Std. Deviation Of Filtered Signal (FIR) = ',num2str(std(output(1:1000)))]);
%
% disp('********************************************************')