function varargout = ICA_fast(varargin)
% ICA_FAST MATLAB code for ICA_fast.fig
% ICA_FAST, by itself, creates a new ICA_FAST or raises the existing
% singleton*.
%
% H = ICA_FAST returns the handle to a new ICA_FAST or the handle to
% the existing singleton*.
%
% ICA_FAST('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in ICA_FAST.M with the given input arguments.
%
% ICA_FAST('Property','Value',...) creates a new ICA_FAST or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before ICA_fast_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to ICA_fast_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 ICA_fast
% Last Modified by GUIDE v2.5 21-May-2021 08:57:10
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ICA_fast_OpeningFcn, ...
'gui_OutputFcn', @ICA_fast_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 ICA_fast is made visible.
function ICA_fast_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 ICA_fast (see VARARGIN)
movegui(gcf,'center')
warning off
% Choose default command line output for ICA_fast
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes ICA_fast wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = ICA_fast_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 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)
global MixedS FS FileName PathName
[FileName,PathName] = uigetfile('*.wav');
pathall=strcat(PathName,FileName);%获得wav路径
[MixedS,FS]=audioread(pathall);%读取wav文件的数据和频率
t=(0:length(MixedS)-1)/FS;%变换得到播放时间
MixedS1=MixedS';
plot(handles.axes1,t,MixedS1(1,:));
title(handles.axes1,'混合信号1(声道1)');
plot(handles.axes2,t,MixedS1(2,:));
title(handles.axes2,'混合信号2(声道2)');
N=length(t);
f=(0:N-1)*FS/N;
MixedS_1=abs(fft(MixedS1(1,:)));
MixedS_2=abs(fft(MixedS1(2,:)));
plot(handles.axes3,f,MixedS_1);
title(handles.axes3,'混合信号1频谱');
plot(handles.axes4,f,MixedS_2);
title(handles.axes4,'混合信号2频谱');
% --- 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)
global MixedS FS ICAedS
MixedS=MixedS';
MixedS_bak=MixedS;
%标准化
MixedS_mean=zeros(2,1);
for i=1:2
MixedS_mean(i)=mean(MixedS(i,:));
end % 计算MixedS的均值
for i=1:2
for j=1:size(MixedS,1)
MixedS(i,j)=MixedS(i,j)-MixedS_mean(i);
end
end
%白化
MixedS_cov=cov(MixedS'); % cov为求协方差的函数
[E,D]=eig(MixedS_cov); % 对信号矩阵的协方差函数进行特征值分解
Q=inv(sqrt(D))*(E)'; % Q为白化矩阵
MixedS_white=Q*MixedS; % MixedS_white为白化后的信号矩阵
IsI=cov(MixedS_white'); % IsI应为单位阵
%FASTICA算法
X=MixedS_white; % 以下算法将对X进行操作
[VariableNum,SampleNum]=size(X);
numofIC=VariableNum; % 在此应用中,独立元个数等于变量个数
B=zeros(numofIC,VariableNum); % 初始化列向量w的寄存矩阵,B=[b1 b2 ... bd]
for r=1:numofIC
i=1;maxIterationsNum=1000; % 设置最大迭代次数(即对于每个独立分量而言迭代均不超过此次数)
IterationsNum=0;
b=rand(numofIC,1)-.5; % 随机设置b初值
b=b/norm(b); % 对b标准化 norm(b):向量元素平方和开根号
while i<=maxIterationsNum+1
if i == maxIterationsNum % 循环结束处理
fprintf('\n第%d分量在%d次迭代内并不收敛。', r,maxIterationsNum);
break;
end
bOld=b;
a2=1;
u=1;
t=X'*b;
g=t.*exp(-a2*t.^2/2);
dg=(1-a2*t.^2).*exp(-a2*t.^2/2);
b=((1-u)*t'*g*b+u*X*g)/SampleNum-mean(dg)*b;
% 核心公式
b=b-B*B'*b; % 对b正交化
b=b/norm(b);
if abs(abs(b'*bOld)-1)<1e-9 % 如果收敛,则
B(:,r)=b; % 保存所得向量b
break;
end
i=i+1;
end
end
for k=1:numofIC
W(:,k)=B(:,k)/5^k; % 得到解混矩阵W
end
%ICA计算的数据复原并构图
ICAedS=W'*Q*MixedS_bak; % 计算ICA后的矩阵
% 将混合矩阵重新排列并输出
t=(0:length(ICAedS)-1)/FS;%变换得到播放时间
plot(handles.axes1,t,ICAedS(1,:));
title(handles.axes1,'分离信号1');
plot(handles.axes2,t,ICAedS(2,:));
title(handles.axes2,'分离信号2');
N=length(t);
f=(0:N-1)*FS/N;
ICAedS_1=abs(fft(ICAedS(1,:)));
ICAedS_2=abs(fft(ICAedS(2,:)));
plot(handles.axes3,f,ICAedS_1);
title(handles.axes3,'分离信号1频谱');
plot(handles.axes4,f,ICAedS_2);
title(handles.axes4,'分离信号2频谱');
% --- 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 FileName PathName
hunhe=fullfile(PathName,FileName);
set(handles.activex1,'URL',hunhe);
% --- 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 ICAedS FS
filename = 'ICA1.mp3';
audiowrite(filename, ICAedS(1,:), FS);
set(handles.activex1,'URL',filename);
% --- 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)
global ICAedS FS
filename = '
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温馨提示
两首歌混合在一起,然后导入matlab,用gui先显示它的原始时频域波形,然后用一个算法,把它们两首歌分开,然后分别显示它们两首各自的的时频域波形,然后要有一个播放器,可以播放原先混合的音频,还可以播放分开后各自的音频。本文将提供一个简单的GUI应用程序示例。以下是基于FastICA实现声源分离系统的步骤: (1)数据收集:使用麦克风录制混合信号。 (2)预处理:对混合信号进行预处理(如中心化和白化)。 (3)FastICA算法:使用FastICA算法分离独立成分。 (4)结果分析:分析分离出的独立成分,检查是否成功分离出原始的声源信号。 详见:https://mp.weixin.qq.com/s/ki14OujWbXDPe-5rSji5tw
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2021.4.11.zip (6个子文件)
2021.4.11
GUI
ICA_fast.fig 60KB
ICA_fast_activex1 4KB
ICA_fast.m 9KB
ICA1.mp3 2.37MB
1-2.wav 34.33MB
ICA2.mp3 1.65MB
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