Results 221 to 230 of about 83,194 (264)
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Multi-user multi-sensor detectors for CDMA networks
IEEE Transactions on Communications, 1995Considers a code division multiple access (CDMA) cellular network and proposes sub-optimal multiuser detectors which exploit a type of diversity inherent in the system and are based on the processing of signals received at multiple base stations.
Srinivas Kandala +2 more
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MULTI-SENSOR NEURAL-NETWORK PROCESSING OF NOISY SPEECH
International Journal of Neural Systems, 1999In this paper, a novel Artificial Neural-Network (ANN) based multi-sensor multi-band adaptive signal-processing scheme is described for enhancing acoustic-speech corrupted by real noise and reverberation. Numerically robust adaptation-algorithms are employed for the ANN based sub-band filters; and, new simulation experiments are reported using real ...
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A Genetic Algorithm on Multi-sensor Networks Lifetime Optimization
2006Since data communications consume the most energy of sensor networks, it is reasonable to take efficient traffic balancing to prolong the lifetime. In addition, the traffic aggregation is a main characteristic that distinguish sensor networks from others e.g. Internet and MANET.
Yantao Pan, Wei Peng 0005, Xicheng Lu
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Multi-sensor Fusion through Adaptive Bayesian Networks
2011Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach ...
DE PAOLA, Alessandra +3 more
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Design of Smart Car Networking System based on Multi-Sensor Network
2021 6th International Conference on Inventive Computation Technologies (ICICT), 2021Rapid development of intelligent methodologies will leverage novel approaches for enhancing the car monitoring and scheduling system. Hence, this paper studies the smart car networking system based on multi-sensor network. The key to the successful operation of active driving services lies in the selection of high-quality services from the massive ...
Rong Xu, Hui Liu, Harry Haoxiang Wang
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A Method to Multi-Sensor Networking for Target Tracking
Applied Mechanics and Materials, 2014The acoustic sensor networking is an important research topic in multi-sensor target tracking system. An acoustic sensor network consists of multiple acoustic sensors which are located in fixed positions with specific deployment mode. It can improve the robustness and fault-tolerance of the target tracking system, especially when a single or few ...
Ning Wang, Hong Wei Quan, Xiu Yin Xue
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In-network multi-sensors query aggregation algorithm for wireless sensor networks database
2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), 2018In-network adaptive query optimization for Wireless Sensor Networks (WSNs) database considered as a distributed database has been a wide research field. Due to a limited battery of sensors, the research direction regarding energy efficiency has attracted increasing interest in different monitoring applications for extending the lifetime of WSNs ...
Hua Yan +2 more
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Dynamic Channel Modeling for Multi-Sensor Body Area Networks
IEEE Transactions on Antennas and Propagation, 2013A channel model for time-variant multi-link wireless body area networks (WBANs) is proposed in this paper, based on an extensive measurement campaign using a multi-port channel sounder. A total of 12 nodes were placed on the body to measure the multi-link channel within the created WBAN.
Van Roy, Stéphane +6 more
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Multi-sensor information fusion based on BP network
2010 Sixth International Conference on Natural Computation, 2010The output of pressure sensor is affected by non-objection parameters in its application, such as temperature, power fluctuation and so on. Multi-sensor information fusion based on BP network can eliminate the side effect of non-objection parameters and improve the accuracy and reliability for the pressure sensor. This method based on LMBP algorithm of
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Multi sensor data fusion within hierarchical neural networks
1990 IJCNN International Joint Conference on Neural Networks, 1990Presents a hierarchical neural network architecture which can achieve multisensor data fusion at feature level by combining the coherent activities of higher-level neurons in the architecture. The architecture learns very quickly and is highly stable and plastic. Initial results show promise.
Jagath C. Rajapakse, Raj Acharya
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