Results 211 to 220 of about 3,762 (261)
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Acoustic Source Localization in Wireless Sensor Network

Circuits, Systems and Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoran Saric   +2 more
openaire   +2 more sources

Audio coding in wireless acoustic sensor networks

Signal Processing, 2015
In this paper, we consider the problem of source coding for a wireless acoustic sensor network where each node in the network makes its own noisy measurement of the sound field, and communicates with other nodes in the network by sending and receiving encoded versions of the measurements.
Adel Zahedi   +4 more
openaire   +2 more sources

Blind Synchronization in Wireless Acoustic Sensor Networks

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
The challenge of blindly resynchronizing the data acquisition processes in a wireless acoustic sensor network (WASN) is addressed in this paper. The sampling rate offset (SRO) is precisely modeled as a time scaling. The applicability of a wideband correlation processor for estimating the SRO, even in a reverberant and multiple source environment, is ...
Dani Cherkassky, Sharon Gannot
openaire   +1 more source

Shooter localization in wireless acoustic sensor networks

2017 IEEE Symposium on Computers and Communications (ISCC), 2017
This paper introduces a feasibility study of a low cost and power effective wireless acoustic sensor network for shooter localization. Currently deployed sensors for this application use a time domain gunshot signal analysis and high sampling rates, in the order of MS/s.
Andrea Simone Pinna   +2 more
openaire   +1 more source

Acoustic Source Positioning based on Sensor Selection in Wireless Sensor Network

2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, 2020
Since the bandwidth and energy of wireless sensor networks (WSNs) are limited, it is not appropriate to use all the sensors for acoustic source positioning and so the need for sensor selection. In the article, an efficient expectation maximization algorithm based on sensor selection (EM-SS) is proposed for acoustic source positioning in the WSNs.
Yuwu Feng, Guohua Hu, Lei Hong
openaire   +1 more source

Acoustic counting algorithms for wireless sensor networks

Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, 2009
This study presents two algorithms that count birds with wireless sensors equipped with microphones. Audio inputs are parametrized to get some kind of fingerprints which are used to recognize the song of the birds in a classification process. Afterward, counting algorithms derive an estimate of the number of singing birds in the habitat.
Gros-Désormeaux, Harry   +3 more
openaire   +2 more sources

Coding and Enhancement in Wireless Acoustic Sensor Networks

2015 Data Compression Conference, 2015
We formulate a new problem which bridges between source coding and enhancement in wireless acoustic sensor networks. We consider a network of wireless microphones, each of which encoding its own measurement under a covariance matrix distortion constraint and sending it to a fusion center.
Adel Zahedi   +4 more
openaire   +1 more source

Deployment analysis in underwater acoustic wireless sensor networks

Proceedings of the 1st ACM international workshop on Underwater networks - WUWNet '06, 2006
In this paper, different deployment strategies for two-dimensional and three-dimensional communication architectures for UnderWater Acoustic Sensor Networks (UW-ASNs) are proposed, and statistical deployment analysis for both architectures is provided. The objectives of this paper are to determine the minimum number of sensors needed to be deployed to ...
Dario Pompili   +2 more
openaire   +1 more source

Relative Acoustic Transfer Function Estimation in Wireless Acoustic Sensor Networks

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
In this paper, we present an algorithm to estimate the relative acoustic transfer function RTF of a target source in wireless acoustic sensor networks WASNs. Two well-known methods to estimate the RTF are the covariance subtraction CS method and the covariance whitening CW approach, the latter based on the generalized eigenvalue decomposition.
Jie Zhang 0042   +2 more
openaire   +3 more sources

Distributed, Robust Acoustic Source Localization in a Wireless Sensor Network

IEEE Transactions on Signal Processing, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Liu 0025, Yu Hen Hu, Quan Pan 0001
openaire   +1 more source

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