filterbank_for_speech_signal
A speech signal filterbank, using melscale frequency and framebanking.( 1. For speech signal can be represented as a discrete sequence of frames (or feature vectors) that can be used as the input to a speech recogniser. Important ideas and techniques that are used in the assignment are the design of a (Mel frequency scale) audio filterbank, , windowing of a continuous audio signal, spectrum analysis of the signal, filtering as multiplication in the frequency domain, the visual representation of a speech signal as a spectrogram, appreciation of the acoustic variability in real speech utterances.
2. To gain a deeper knowledge of the application of MATLAB programming to audio signal processing.
3. To gain practice in the art of writing a formal report: structure, content, style, use of diagrams, presentation etc. etc.
)
- 2010-11-19 21:11:01下载
- 积分：1
fractal
matlab程序画图，常见分形图，function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 (matlab program drawing, common fractal images
function cantor(A,B)
c=1
p=0
figure
hold on
plot([A(2) B(2)],[A(1) B(1)], r* )
while norm(A(1,:)-B(1,:))>=1
C=[] D=[]
for i=1:size(A,1)
a=A(i,:)+(B(i,:)-A(i,:))/3
b=A(i,:)+2*(B(i,:)-A(i,:))/3
C=[C A(i,:) b]
D=[D a B(i,:)]
end
A=C
B=D
p=p+1 )
- 2013-03-02 09:54:38下载
- 积分：1
