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BL
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| Record Number
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881766
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| Main Entry
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Grimm, Simon
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| Title & Author
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Directivity based multichannel audio signal processing for microphones in noisy acoustic environments /\ Simon Grimm.
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| Publication Statement
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Wiesbaden :: Springer Vieweg,, 2019.
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| Series Statement
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Schriftenreihe der Institute für Systemdynamik (IDS) und optische Systeme (ISO),
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| Page. NO
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1 online resource (xi, 127 pages) :: illustrations
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| ISBN
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3658251522
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: 9783658251529
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9783658251512
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| Contents
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Intro; Acknowledgements; Contents; Abstract; 1 Introduction; 1.1 Problem Statement; 1.2 Structure of the Thesis; 2 Noise Reduction using Multichannel Signal Processing Approaches; 2.1 Signal Model and Notation; 2.2 Constant Directivity Beamforming; 2.2.1 Microphone Arrangements; 2.2.2 Delay-and-Sum Beamforming; 2.2.3 Differential Beamforming; 2.2.4 Super Directive Beamforming; 2.3 Minimum Variance Beamforming; 2.3.1 The Linear Constrained Minimum Variance Beamformer; 2.3.2 The Minimum Variance Distortionless Response Beamformer; 2.3.3 The Relative Transfer Function Minimum Variance Beamformer
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2.4 The Speech Distortion Weighted Multichannel Wiener Filter2.4.1 Minimum Mean Squared Error Solution; 2.4.2 Decomposition of the Multichannel Wiener Filter; 2.5 Summary; 3 The Generalized Multichannel Wiener Filter; 3.1 The Generalized MWF; 3.2 On the Output SNR; 3.2.1 Narrow-band SNR Considerations; 3.2.2 Broad-band SNR Considerations; 3.2.3 Broad-band SNR Dependence on the Overall Transfer Function; 3.3 Summary; 4 Directivity Based Reference for the Generalized Multichannel Wiener Filter; 4.1 G-MWF Reference Selection; 4.1.1 Distortionless Response Beamformer
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4.1.2 Partial Equalization Approach4.2 Directivity Based G-MWF Reference Selection; 4.2.1 Delay-and-Sum Beamformer; 4.2.2 Partial Equalization with DSB Phase Reference; 4.2.3 Differential Beamforming Reference; 4.3 System Structure of the G-MWF; 4.4 Estimation of the Second Order Statistics for Speech and Noise; 4.5 TDOA Estimation; 4.6 Simulation Results; 4.6.1 Delay-and-Sum Reference; 4.6.2 Differential Beamforming Reference; 4.7 Summary; 5 Reference for the Binaural Multichannel Wiener Filter; 5.1 The Binaural Multichannel Wiener Filter; 5.2 Binaural Cues
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5.2.1 Interaural Transfer Function5.2.2 Binaural Error Measures; 5.3 The Generalized Binaural Multichannel Wiener Filter; 5.3.1 The Generalization of the Binaural Multichannel Wiener Filter; 5.3.2 On the ITF Preservation of the G-BMWF; 5.4 Simulation Results; 5.4.1 SSNR and LSD; 5.4.2 Binaural Cues; 5.5 Summary; 6 Wind Noise Reduction for a Closely Spaced Microphone Array; 6.1 Wind Noise Reduction Algorithm; 6.1.1 Beamformer; 6.1.2 Special Cases; 6.1.3 PSD estimation; 6.1.4 Post Filter; 6.2 Simulation Results; 6.2.1 Coherence Properties; 6.2.2 Beamformer Output; 6.2.3 Post Filter Output
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6.2.4 Wind Noise Only Scenario6.3 Summary; 7 Background Noise Simulation based on MIMO Equalization; 7.1 The Signal Model; 7.2 Equalization of the MIMO System; 7.3 Simulation and Measurement Results; 7.4 Summary; 8 Conclusions; Bibliography
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| Abstract
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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. The Content Directivity Based Reference for the Generalized Multichannel Wiener Filter Reference for the Binaural Multichannel Wiener Filter Wind Noise Reduction for a Closely Spaced Microphone Array Background Noise Simulation based on MIMO Equalization The Target Groups Lecturers and Students in the field of Speech Signal Processing Practitioners of Speech Signal Processing and Noise Reduction The Author Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph. D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer.
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| Subject
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Beamforming.
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| Subject
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Source separation (Signal processing)
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Beamforming.
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| Subject
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Source separation (Signal processing)
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| Dewey Classification
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621.382/2
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| LC Classification
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TK7871.67.A33
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