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Methods for detecting acoustic sources using microphone arrays
Durkoš, Michal ; Rampl, Ivan (referee) ; Míča, Ivan (advisor)
his paper denotes various possibilities of localization of sources of acoustic signals. It informs the reader about possibilities of using beamforming and it´s basic conditions and rules. In detail it denotes delay-and-sum beamforming, which can be used for both localization of signal sources and for improving the signal by extending signal-to-noise ratio. In the last part of this paper process of simulation of incidence of sound signal on the microphone array is shown, experimental measures are noted and so is their evaluation.
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Noise Source Identification Using Beamforming
Kurc, David ; Míča, Ivan (referee) ; Schimmel, Jiří (advisor)
This master's thesis is focused on the noise source identification using microphone arrays and beamforming as the signal processing method. It describes parts of such a system and provides a comparison with other systems that serve a similar purpose (eg. NAH). Various types of microphone arrays are mentioned with their influence on the resulting ability to identify the noise source. We are further focusing on Delay-And-Sum technology, on which we are explaining the basic principles and constraints of beamforming. The practical part describes the implementation of the DAS method in MATLAB and C language, the specific structures of built microphone arrays and assembly of complete systems capable of identifying sources of noise. These systems were tested by performing a practical experiment. Achievements in the form of distribution maps of acoustic energy in the focused space are interpreted in the last chapter.
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Methods for detecting acoustic sources using microphone arrays
Durkoš, Michal ; Rampl, Ivan (referee) ; Míča, Ivan (advisor)
his paper denotes various possibilities of localization of sources of acoustic signals. It informs the reader about possibilities of using beamforming and it´s basic conditions and rules. In detail it denotes delay-and-sum beamforming, which can be used for both localization of signal sources and for improving the signal by extending signal-to-noise ratio. In the last part of this paper process of simulation of incidence of sound signal on the microphone array is shown, experimental measures are noted and so is their evaluation.
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|
|
Noise Source Identification Using Beamforming
Kurc, David ; Míča, Ivan (referee) ; Schimmel, Jiří (advisor)
This master's thesis is focused on the noise source identification using microphone arrays and beamforming as the signal processing method. It describes parts of such a system and provides a comparison with other systems that serve a similar purpose (eg. NAH). Various types of microphone arrays are mentioned with their influence on the resulting ability to identify the noise source. We are further focusing on Delay-And-Sum technology, on which we are explaining the basic principles and constraints of beamforming. The practical part describes the implementation of the DAS method in MATLAB and C language, the specific structures of built microphone arrays and assembly of complete systems capable of identifying sources of noise. These systems were tested by performing a practical experiment. Achievements in the form of distribution maps of acoustic energy in the focused space are interpreted in the last chapter.
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