Acoustic Beamforming Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9005-4_20
Reference12 articles.
1. Chiariotti P, Martarelli M, Castellini P (2019) Acoustic beamforming for noise source localization: reviews, methodology and applications. Mech Syst Sig Process 120:422–448
2. Ting TM, Ahmad NS, Goh P, Mohamad-Saleh J (2021) Binaural modelling and spatial auditory cue analysis of 3D-printed ears. Sensors 21(1):227
3. Ahmad NS (2020) Robust H∞-fuzzy logic control for enhanced tracking performance of a wheeled mobile robot in the presence of uncertain nonlinear perturbations. Sensors 20(13):7673
4. Syed Mubarak Ali SAA, Ahmad NS, Goh P (2019) Flex sensor compensator via hammerstein–wiener modeling approach for improved dynamic goniometry and constrained control of a bionic hand. Sensors 19(18):3896
5. Ahmad NS, Boon NL, Goh P (2018) Multi-sensor obstacle detection system via model-based state-feedback control in smart cane design for the visually challenged. IEEE Access 6:64182–64192
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