A Single-channel Mix Signal Separation Technique
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Transcript of A Single-channel Mix Signal Separation Technique
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A Single-channel Mix Signal
Separation Technique
Jain-De LeTM
The 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE 2007
Xiefeng Cheng Nianqiang Li Yuhan Cheng Zhengyu Chen.
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Outline• INTRODUCTION
• THE INDENPENDENT SUB-BAND FUNCTION MODEL
• A SINGLE SENSOR MIXTURE SIGNAL SEPARATION TECHNIQUE
• SEPARATION EXPERIMENT
• CONCLUSION
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INTRODUCTION
• Introduction of TEOAEs
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THE INDENPENDENT SUB-BAND FUNCTION MODEL
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THE INDENPENDENT SUB-BAND FUNCTION MODEL (cont.)
3133
2132
1131
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3113
2112
1121
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3113
2112
1111
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bcbcbcs
bcbcbcs
bcbcbcs
C-1=Wc
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A SINGLE SENSOR MIXTURE SIGNAL SEPARATION TECHNIQUE
• The method of expanding the dimension of single signal
• Single maxing model (two signal)
• The signal x is chopped N segmentsx(t)=As(t) x(t)=a1s1(t)+a2s2(t)
Formula A
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A SINGLE SENSOR MIXTURE SIGNAL SEPARATION TECHNIQUE
• Implement steps
Procure sub-band functions
Transform xn into a multi-dimensional
Separate vector
Into a two-dimensional
vector and separate
Comparing
n=n+1
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A SINGLE SENSOR MIXTURE SIGNAL SEPARATION TECHNIQUE
• Estimation of a1 and a2
– Estimation of a1 can be easily obtained by Formula A
– Estimation of a2
• use posterior probability
The log of maximizing posterior probability maximizes of a2
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A SINGLE SENSOR MIXTURE SIGNAL SEPARATION TECHNIQUE
• Solving
N
n
Q
q
nnq
nq saZZCsf
1 1111111 ,)(where
Φ2can be obtained by the same form as that of Φ1
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SEPARATION EXPERIMENT
Artifact
Independent sub-band functions
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SEPARATION EXPERIMENT
To transform into a 4-dimensional vector
Similitude coefficient (SC) and similitude phase diagram (SPD)
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SEPARATION EXPERIMENT
DNLR method
Author’s method
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CONCLUSION
• Need only one signal
• Similar coefficient is near to 1