课设论文matlabgui 界面设计Word格式文档下载.docx

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课设论文matlabgui 界面设计Word格式文档下载.docx

gui_LayoutFcn'

[],...

gui_Callback'

[]);

ifnargin&

&

ischar(varargin{1})

gui_State.gui_Callback=str2func(varargin{1});

end

ifnargout

[varargout{1:

nargout}]=gui_mainfcn(gui_State,varargin{:

});

else

gui_mainfcn(gui_State,varargin{:

%Endinitializationcode-DONOTEDIT

%---Executesjustbeforejy01ismadevisible.

functionjy01_OpeningFcn(hObject,eventdata,handles,varargin)

%Thisfunctionhasnooutputargs,seeOutputFcn.

%hObjecthandletofigure

%eventdatareserved-tobedefinedinafutureversionofMATLAB

%handlesstructurewithhandlesanduserdata(seeGUIDATA)

%varargincommandlineargumentstojy01(seeVARARGIN)

%Choosedefaultcommandlineoutputforjy01

handles.output=hObject;

%Updatehandlesstructure

guidata(hObject,handles);

%UIWAITmakesjy01waitforuserresponse(seeUIRESUME)

%uiwait(handles.figure1);

%---Outputsfromthisfunctionarereturnedtothecommandline.

functionvarargout=jy01_OutputFcn(hObject,eventdata,handles)

%varargoutcellarrayforreturningoutputargs(seeVARARGOUT);

%Getdefaultcommandlineoutputfromhandlesstructure

varargout{1}=handles.output;

%---Executesonbuttonpressinpushbutton2.

functionpushbutton2_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton2(seeGCBO)

[x]=wavread('

01.wav'

);

sound(x);

subplot(4,1,1);

plot(x);

axis([1length(x)-11]);

ylabel('

Speech'

enhance=filter([1-0.9375],1,x);

FrameLen=240;

FrameInc=80;

yframe=enframe(x,FrameLen,FrameInc);

amp1=sum(abs(yframe),2);

subplot(4,1,2);

plot(amp1);

axis([1length(amp1)0max(amp1)]);

Amp'

legend('

amp1=¡

Æ

©

¦

'

amp2=sum(abs(yframe.*yframe),2);

subplot(4,1,3);

plot(amp2);

axis([1length(amp2)0max(amp2)]);

Energy'

x*x©

tmp1=enframe(x(1:

end-1),FrameLen,FrameInc);

tmp2=enframe(x(2:

end),FrameLen,FrameInc);

signs=(tmp1.*tmp2)<

0;

diffs=(tmp1-tmp2)>

0.02;

zcr=sum(signs.*diffs,2);

subplot(4,1,4);

plot(zcr);

axis([1length(zcr)0max(zcr)]);

ZCR'

zcr'

functionf=enframe(x,win,inc)

nx=length(x(:

));

nwin=length(win);

if(nwin==1)

len=win;

len=nwin;

if(nargin<

3)

inc=len;

nf=fix((nx-len+inc)/inc);

f=zeros(nf,len);

indf=inc*(0:

(nf-1)).'

;

inds=(1:

len);

f(:

)=x(indf(:

ones(1,len))+inds(ones(nf,1),:

if(nwin>

1)

w=win(:

)'

f=f.*w(ones(nf,1),:

%---Executesonbuttonpressinpushbutton3.

functionpushbutton3_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton3(seeGCBO)

[our]=wavread('

specgram_hw3p20(our,1024,512,10000);

specgram_hw3p20(our,512,256,10000);

function[spec]=specgram_hw3p20(x,winlgh,frmlgh,sampling_rate);

%specgram_hw3p20(x,winlgh,frmlgh,sampling_rate)

%functiontocomputeaspectrogram

%x=inputwaveform

%winlgh=windowlengthinsamples

%frmlgh=framelengthinsamples

%sampling_rate=samples/sec

%PARAMETERS

%sampling_rate=10000;

%samplingrate

lfft=1024;

%FFTlength

lfft2=lfft/2;

%winlgh=200;

%(128)windowlength(insamples)

%frmlgh=10;

%frameinterval(insamples)

noverlap=winlgh-frmlgh;

%x=x(1:

4500);

x=2.0*x/max(abs(x));

etime=length(x)/sampling_rate;

%---------------------------------------------------------------------------%

spec=abs(specgram(x,lfft,sampling_rate,winlgh,noverlap));

subplot(211);

plot((1:

length(x))/sampling_rate,x)

xlabel('

Time(s)'

title('

SPEECH'

axis([0etime-2.52.5]);

grid;

subplot(212)

imagesc(0:

.010:

etime,0:

1000:

(sampling_rate/2),log10(abs(spec)));

axis('

xy'

Time(ms)'

),ylabel('

Frequency(Hz)'

SPECTROGRAM'

%---Executesonbuttonpressinpushbutton4.

functionpushbutton4_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton4(seeGCBO)

clc;

clear;

tic,

[y,fs]=wavread('

L=length(y);

fw=y.*hamming(L);

r=real(log(fft(fw,L)))

pfw=cceps(fw);

rpfw=rceps(fw);

z=rpfw(1:

30);

p=pfw(31:

L)

logz=real(exp(fft(z,L)));

logp=real(fft(p));

subplot(3,2,1);

plot(y);

title('

Ô

¼

²

¨

Ð

Î

subplot(3,2,3);

plot(pfw);

¸

´

µ

¹

×

subplot(3,2,5);

plot(rpfw);

Ê

subplot(3,2,6);

plot(logz);

Ó

ò

Â

Ë

º

ó

Ä

ý

·

ù

È

subplot(3,2,4);

plot(r);

subplot(3,2,2);

plot(fw);

£

Ã

÷

°

%---Executesonbuttonpressinpushbutton5.

functionpushbutton5_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton5(seeGCBO)

speech1_10k=wavread('

[10241273]);

¡

250µ

ã

ï

Ò

ô

Å

sw=speech1_10k.*hamming(250);

%a¼

Rsw=xcorr(sw'

%a×

Ï

à

Ø

t=0.1:

0.1:

25;

subplot(1,2,1);

plot(t,sw);

xlabel('

ms'

±

subplot(1,2,2);

t=0.1:

length(Rsw)/10;

plot(t,Rsw);

Rsw4=[Rsw(250:

253);

Rsw(249:

252);

Rsw(248:

251);

Rsw(247:

250)];

ú

³

É

4*4×

Õ

Rsw6=[Rsw(250:

255);

254);

Rsw(246:

Rsw(245:

6*6×

rea4=inv(Rsw4)*Rsw(251:

254)'

¤

â

4

rea6=inv(Rsw6)*Rsw(251:

256)'

6

A4=sqrt(Rsw(250)-Rsw(251:

254)*rea4);

ö

æ

A6=sqrt(Rsw(250)-Rsw(251:

256)*rea6);

w=pi/512:

pi/512:

pi;

ä

§

j=sqrt(-1);

FW4=rea4'

*[exp(-j*w);

exp(-j*w*2);

exp(-j*w*3);

exp(-j*w*4)];

Ú

Ç

ì

FW6=rea6'

exp(-j*w*4);

exp(-j*w*5);

exp(-j*w*6)];

HW4=A4./(1-FW4);

HW6=A6./(1-FW6);

FW2=fft(sw,1024);

Á

¢

»

FW3=FW2(1:

512);

w=(1/1024:

1/1024:

0.5)*10000;

subplot(2,2,1);

plot(w,log(abs(FW3)));

hz'

subplot(2,2,2);

plot(w,log(abs(HW4)),'

g'

«

Í

subplot(2,2,3);

plot(w,log(abs(HW6)),'

r'

subplot(2,2,4);

plot(w,log(abs(FW3)),w,log(abs(HW4)),w,log(abs(HW6)));

ß

½

%---Executesonbuttonpressinpushbutton6.

functionpushbutton6_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton6(seeGCBO)

clear

Y=wavread('

[11800]);

x1=Y(271:

510);

x2=Y(271:

x3=Y(271:

r=zeros(1,240);

fork=1:

240

forn=1:

240-k

r(k)=r(k)+x1(n)*x1(n+k);

end

j=1:

240;

plot(j,r);

À

í

plot(j,x1);

¯

ç

fork1=1:

1:

ifx2(k1)>

x2(k1)=1;

elseifx2(k1)==0

x2(k1)=0;

elseifx2(k1)<

x2(k1)=-1;

plot(j,x2);

û

ma=abs(max(x3));

tc=0.6*ma;

ifx3(k1)>

tc

x3(k1)=x3(k1)-tc;

elseifx3(k1)<

-tc

x3(k1)=x3(k1)+tc;

else

x3(k1)=0;

plot(j,x3);

Ö

%---Executesonbuttonpressinpushbutton7.

functionpushbutton7_Callback(hObject,eventdata,handles)

%hObjecthandletopushbutton7(seeGCBO)

clc

winsize=256;

n=0.04;

ë

®

[speech,fs,nbits]=wavread('

¾

Ý

size=length(speech);

numofwin=floor(size/winsize);

ham=hamming(winsize)'

%GeneratesHammingWindow

hamwin=zeros(1,size);

%Vectorforwindowgain

enhanced=zeros(1,size);

%Vectorforenhancedspeech

ø

x=speech'

+n*randn(1,size);

%Contaminatessignalwithwhitenoise

noisy=n*randn(1,winsize);

%Sampleofnoise

N=fft(noisy);

nmag=abs(N);

%Estimatednoisemagnitudespectrum

forq=1:

2*numofwin-1

frame=x(1+(q-1)*winsize/2:

winsize+(q-1)*winsize/2);

%50percentov

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