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학술저널

Performance Enhancement of Whistle Sound Source Tracking Algorithm using Time-Scale Filter Based on Wavelet Transform

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A purpose of developing a sound source tracking system in this paper is to reduce the noise efficiently from the received signal by microphone array and measure the signal’s time delay between the microphones. I have applied the wavelet analysis algorithm to the system and calculated the sound source’s relative position. For the performance evaluation, I have compared with the results of utilizing she digital filtering methods based on the FIR LPF using Kaiser window function and the inverse Chebyshev IIR LPF. As a result, I have confirmed the fact that ‘time-scale’ filter using inverse discrete wavelet transform was suitable for this system.

Abstracrt

1. Introduction

2. Wavelet Transform

3. Designing of Digital Filter

4. Experiments and Evaluations

5. Conclusion

References

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