Distributed Signal Processing Algorithms for Multi-Task Wireless Acoustic Sensor Networks (2017)
Abstract / truncated to 115 words
Recent technological advances in analogue and digital electronics as well as in hardware miniaturization have taken wireless sensing devices to another level by introducing low-power communication protocols, improved digital signal processing capabilities and compact sensors. When these devices perform a certain pre-defined signal processing task such as the estimation or detection of phenomena of interest, a cooperative scheme through wireless connections can significantly enhance the overall performance, especially in adverse conditions. The resulting network consisting of such connected devices (or nodes) is referred to as a wireless sensor network (WSN). In acoustical applications (e.g., speech enhancement) a variant of WSNs, called wireless acoustic sensor networks (WASNs) can be employed in which the sensing unit at ...
distributed signal processing – multi-task wireless acoustic sensor networks – signal estimation – beamforming – direction-of-arrival estimation – generalized eigenvalue decomposition.
Information
- Author
- Hassani, Amin
- Institution
- KU Leuven
- Supervisors
- Publication Year
- 2017
- Upload Date
- Nov. 6, 2017
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