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Collaborative signal processing for energy-efficient self-organizing wireless sensor network
International Workshop on Wireless Ad-Hoc Networks, 2004., 2006An analytical framework for the performance evaluation of a dense energy-efficient wireless sensor network (WSN) enabling distributed collaborative environment monitoring is developed. We address the estimation of a target multidimensional process by means of samples captured by nodes randomly and uniformly distributed and transmitted to a collector ...
CONTI, ANDREA +2 more
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Energy-Efficient Mixed-Signal Circuits and Systems for Communication and Signal Processing
2022In recent years, there has been an explosive increase in digital data generated globally, driven by various online applications such as video streaming, social media, shopping, gaming, etc. With the rise of deep learning and the Internet of Things (IoT), this trend is likely to be maintained for the foreseeable future.
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Energy effect of on-node processing of ECG signals
2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE), 2010When a patient returns home from a hospital, a doctor might still want to monitor the heart condition remotely. An ECG sensor based on wireless sensor network technology can provide this information, but the energy consumption of this solution should be considered.
Albu, D., Lukkien, J.J., Verhoeven, R.
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Energy Efficiency: Digital Signal Processing Interactions Within Smart Grid
2019 International Conference on Engineering and Emerging Technologies (ICEET), 2019Smart Grid (SG) is regarded as complex electrical power system due to massive penetration of Renewable Energy Resources and Distribution Generations. The implementation of adjustable speed drives, advance power electronic devices, and electric arc furnaces are incorporated in SG (the transition from conventional power system).
N. Ullah +8 more
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Hibernets: Energy-Efficient Sensor Networks Using Analog Signal Processing
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2011Preprocessing of data before transmission is recommended for many sensor network applications to reduce communication and improve energy efficiency. However, constraints on memory, speed, and energy currently limit the processing capabilities within a sensor network. In this paper, we describe how ultra-low-power analog circuitry can be integrated with
Brandon Rumberg +3 more
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An Energy Scalable Computational Array for Sensor Signal Processing
IEEE Custom Integrated Circuits Conference 2006, 2006Harvesting energy from environmental sources can extend wireless sensor network node lifetime beyond the limits of battery technology. However, the output power from an energy harvester is highly variable. We propose a domain-specific computational array which maximizes sensor performance by matching system power consumption to the available scavenged ...
Liping Guo +2 more
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Advanced signal-processing algorithms for energy-efficient wireless communications
Proceedings of the IEEE, 2000Substantial progress has been made in the receiver signal-processing algorithms for wireless communications to minimize the requirements on signal-to-noise (and/or interference) power ratio and computational complexities for the same quality of service.
C. Luschi +9 more
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Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017Multichannel automatic speech recognition (ASR) systems commonly separate speech enhancement, including localization, beamforming, and postfiltering, from acoustic modeling.
Tara N. Sainath +11 more
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Energy bottlenecks in future networks and optical signal processing
2009 International Conference on Photonics in Switching, 2009This talk will provide a high-level overview to redress the value of optical signal processing in the context of the looming energy issues, suggesting the potential of dynamic optical path switching along with some enabling technologies.
S. Namiki, T. Hasama, H. Ishikawa
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