Results 151 to 160 of about 3,511 (202)

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, Giuseppe Portaluri, Stefano Giordano   +2 more
openaire   +1 more source

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.
Zahedi, Adel, Østergaard, Jan, Jensen, Søren Holdt, Bech, Søren, Naylor, Patrick   +4 more
openaire   +2 more sources

Acoustic objective recognition in wireless sensor networks

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
As different types of noises coming from different vehicles and weapons mix together, it is a challenge to identify acoustic objectives in such a noisy situation. A systematical study of acoustic objective recognition in wireless sensor network is conducted in this paper.
Weijun Duan, Mingyi He, Yan Chang, Yan Feng   +3 more
openaire   +1 more source

Multi-Agent-Based Acoustic Sensor Node Deployment in Underwater Acoustic Wireless Sensor Networks

Journal of Information Technology Research, 2020
The deployment of acoustic sensor nodes in 3-D underwater acoustic wireless sensor networks (UAWSN) is a difficult task due to various aquatic conditions and physical obstacles. This work proposes multi-agent-based acoustic sensor node deployment (MASD) to deploy the acoustic nodes at ideal positions to enhance coverage and seamless connectivity.
Basaprabhu S. Halakarnimath, Ashok V. Sutagundar   +1 more
openaire   +1 more source

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

Wireless, acoustically linked, undersea, magnetometer sensor network

OCEANS 2009, 2009
This paper presents a magnetometer sensor node design that consists of a He3 nuclear precession total-field magnetometer, data acquisition and recording electronics, and acoustic modem for networking such nodes. Expounding, we describe the integration of an ultra-sensitive magnetometer with the support electronics just mentioned.
Mihajlo Tomic, Peter T. Sullivan, Vincent K. Mcdonald   +2 more
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, Hunel, Philippe, Vidot, Nicolas, Stattner, Erick   +3 more
openaire   +2 more sources

Acoustic Localization Algorithm Using Wireless Sensor Networks

2009 Second International Conference on Intelligent Computation Technology and Automation, 2009
This paper proposes a distributed acoustic passive localization method using WSN. First, head nodes compute the azimuth angle and pitch angle based on the time delay of arrival (TDOA) from each participating WSN nodes in clusters. Second, the location of acoustic source is calculated from the angles measured above and geometry positions of the two ...
Jingjing Jia, Mingjie Liu, Xiaofeng Li
openaire   +1 more source

Moving Vehicle Classification Using Wireless Acoustic Sensor Networks

IEEE Transactions on Emerging Topics in Computational Intelligence, 2018
Acoustic signal processing over wireless acoustic sensor networks (WASN) currently constitutes a topic receiving extensive attention by the scientific community. However, the majority of the related literature fails to consider several types of phenomena directly affecting the smooth operation of such networks, such as sensor faults, aging phenomena ...
openaire   +2 more sources

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, Richard Heusdens, Richard Christian Hendriks   +2 more
openaire   +3 more sources