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    De-noising Filter Study of the Sound-Source Using the DWT

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    https://www.riss.kr/link?id=A100258423

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

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    한국어
    In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to confirm the performance of suggested filtering algorithm, we estimate the distance and angle from the microphone to the sound-source and compare the filtered signal to the original signal. To calculate the distance and angle, we use the cross-correlation that is possible to estimate the time difference for sound waves reaching more than two sound-source obtaining devices. Also, through the sound-source obtaining devices and carrying out the geometric interpretation, the location of each sound-source can be found.
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    In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to ...

    In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to confirm the performance of suggested filtering algorithm, we estimate the distance and angle from the microphone to the sound-source and compare the filtered signal to the original signal. To calculate the distance and angle, we use the cross-correlation that is possible to estimate the time difference for sound waves reaching more than two sound-source obtaining devices. Also, through the sound-source obtaining devices and carrying out the geometric interpretation, the location of each sound-source can be found.

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    목차 (Table of Contents)

    • Abstract
    • 1. INTRODUCTION
    • 2. ALGORITHM OF RECOGNIZING THE LOCATIONS OF SOUND-SOURCES
    • 3. ALGORITHM OF THE DISCRETE WAVELET TRANSFORM
    • 4. SIMULATION FOR THE DE-NOISING OF THE SOUND SOURCE USING THE DWT
    • Abstract
    • 1. INTRODUCTION
    • 2. ALGORITHM OF RECOGNIZING THE LOCATIONS OF SOUND-SOURCES
    • 3. ALGORITHM OF THE DISCRETE WAVELET TRANSFORM
    • 4. SIMULATION FOR THE DE-NOISING OF THE SOUND SOURCE USING THE DWT
    • 5. CONCLUSION
    • REFERENCES
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