function varargout = Signal_encryption_gui1(varargin)
% SIGNAL_ENCRYPTION_GUI1 MATLAB code for Signal_encryption_gui1.fig
% SIGNAL_ENCRYPTION_GUI1, by itself, creates a new SIGNAL_ENCRYPTION_GUI1 or raises the existing
% singleton*.
%
% H = SIGNAL_ENCRYPTION_GUI1 returns the handle to a new SIGNAL_ENCRYPTION_GUI1 or the handle to
% the existing singleton*.
%
% SIGNAL_ENCRYPTION_GUI1('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in SIGNAL_ENCRYPTION_GUI1.M with the given input arguments.
%
% SIGNAL_ENCRYPTION_GUI1('Property','Value',...) creates a new SIGNAL_ENCRYPTION_GUI1 or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Signal_encryption_gui1_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Signal_encryption_gui1_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 Signal_encryption_gui1
% Last Modified by GUIDE v2.5 17-Jul-2017 13:59:22
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Signal_encryption_gui1_OpeningFcn, ...
'gui_OutputFcn', @Signal_encryption_gui1_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 Signal_encryption_gui1 is made visible.
function Signal_encryption_gui1_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 Signal_encryption_gui1 (see VARARGIN)
% Choose default command line output for Signal_encryption_gui1
global k1 k2 u1 u2 k11 k22 u11 u22
k1=0.3;u1=3.7;k2=0.6;u2=3.9;
k11=0.3;u11=3.7;k22=0.6;u22=3.9;
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
%設定GUI背景
ha=axes('units','normalized','position',[0 0 1 1]);
uistack(ha,'down')
H=imread('03.jpg');
image(H)
colormap gray
set(ha,'handlevisibility','off','visible','off');
% UIWAIT makes Signal_encryption_gui1 wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = Signal_encryption_gui1_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)
%錄音5秒
fs=8000; %語音訊號取樣頻率為8000
Data=1:64;Data=(Data'*Data)/64;
uiwait(msgbox('開始錄音','錄音','custom',Data,hot(64)));
y=audiorecorder(fs,16,1);
recordblocking(y, 5);
myRecording = getaudiodata(y);
audiowrite('F:\MATLAB\Matlab\bin\workplace\Signal_Encrypion\s.wav',myRecording,fs);
msgbox('錄音結束','錄音','custom',Data,hot(64));
% 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)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
global k1 k2 u1 u2
k1=str2double(get(handles.edit1,'string'));
u1=str2double(get(handles.edit3,'string'));
k2=str2double(get(handles.edit2,'string'));
u2=str2double(get(handles.edit4,'string'));
% 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)
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
global k11 k22 u11 u22
k11=str2double(get(handles.edit5,'string'));
u11=str2double(get(handles.edit7,'string'));
k22=str2double(get(handles.edit6,'string'));
u22=str2double(get(handles.edit8,'string'));
% 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)
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
x=audioread('s.wav');
t=(0:length(x)-1)/44100;
axes(handles.axes1);
plot(handles.axes1,t,x) %做原始語音訊號的時域圖形
grid on; axis tight;
title('原始語音訊號');
xlabel('time(s)');
ylabel('幅度');
% 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)
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
fs=44100; %語音訊號取樣頻率為44100
x=audioread('s.wav');
t=(0:length(x)-1)/44100;
Y=fft(x); %對訊號做2048點FFT變換
global N f
N=length(Y);
f=fs*(0:N/2-1)/N;
axes(handles.axes1);
plot(handles.axes1,f,abs(Y(1:length(f)))) %做原始語音訊號的FFT頻譜圖
grid on; axis tight;
title('原始語音訊號FFT頻譜')
xlabel('Hz');
ylabel('幅度');
% 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)
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
x=audioread('s.wav');
sound(x)
% 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)
% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles)
x=audioread('s.wav');
t=(0:length(x)-1)/44100;
x1=ceil(1000*x); %預處理語音訊號(原始訊號擴大1000倍)
x2=dec_to_bin(x1); %將語音訊號由10進位制轉化為2進位制
%利用Logistic混沌對映,對語音訊號進行加密
global k1 k2 u1 u2
z1=k1;z2=k2;
for m=1:80 %迭代80次,達到充分混沌狀態
z1=u1*z1*(1-z1);
end
1 matlab版本
2014a
2 參考文獻
[1]韓紀慶,張磊,鄭鐵然.語音訊號處理(第3版)[M].清華大學出版社,2019.
[2]柳若邊.深度學習:語音識別技術實踐[M].清華大學出版社,2019.