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Directivity Based Multichannel Audio Signal Processing for Microphones in Noisy Acoustic Environments
Directivity Based Multichannel Audio Signal Processing for Microphones in Noisy Acoustic Environments
Knygos.lt klubas Knygos.lt nariams
151,96 €
-30%
Įprastai
217,09 €
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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the micro…
  • Leidėjas:
  • ISBN-10: 3658251514
  • ISBN-13: 9783658251512
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Directivity Based Multichannel Audio Signal Processing for Microphones in Noisy Acoustic Environments (el. knyga) (skaityta knyga) | knygos.lt

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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation.

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  • Autorius: Simon Grimm
  • Leidėjas:
  • ISBN-10: 3658251514
  • ISBN-13: 9783658251512
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation.

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