Energy Efficiency of Distributed Signal Processing in Wireless Networks: A Cross-Layer Analysis [PDF]
, 2015 In order to meet the growing mobile data demand, future wireless networks will be equipped with a mulitude of access points (APs). Besides the important implications for the energy consumption, the trend towards densification requires the development of ...
Geraci, G. +2 more
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1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing
Future Internet, 2023 Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users.
Omar Serghini +4 more
doaj +1 more source
Investigating the impact of image content on the energy efficiency of hardware-accelerated digital spatial filters [PDF]
, 2019 Battery-operated low-power portable computing devices are becoming an inseparable part of human daily life. One of the major goals is to achieve the longest battery life in such a device.
Badii, Atta, Raval, Rajkumar K.
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Smart Grid for the Smart City [PDF]
, 2017 Modern cities are embracing cutting-edge technologies to improve the services they offer to the citizens from traffic control to the reduction of greenhouse gases and energy provisioning.
Bonetto, Riccardo, Rossi, Michele
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Energy-Conscious Turbo Decoder Design: A Joint Signal Processing and Transmit Energy Reduction Approach [PDF]
IEEE Transactions on Vehicular Technology, 2013 Turbo codes (TCs) have been proposed to reduce the required transmission energy in wireless sensor networks (WSNs), although this gain must be offset by the turbo decoder's processing energy consumption (EC). Previously, it has not been possible to estimate this processing EC until a relatively late stage in the TC design process.
Li, L. +4 more
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Sparse Recovery from Combined Fusion Frame Measurements [PDF]
, 2011 Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compressed Sensing (CS).
Boufounos, Petros T. +2 more
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High precision hybrid RF and ultrasonic chirp-based ranging for low-power IoT nodes [PDF]
, 2020 Hybrid acoustic-RF systems offer excellent ranging accuracy, yet they typically come at a power consumption that is too high to meet the energy constraints of mobile IoT nodes.
Cox, B +4 more
core +2 more sources
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing [PDF]
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021 The emerging brain-inspired computing paradigm known as hyperdimensional computing (HDC) has been proven to provide a lightweight learning framework for various cognitive tasks compared to the widely used deep learning-based approaches. Spatio-temporal (ST) signal processing, which encompasses biosignals such as electromyography (EMG) and ...
Geethan Karunaratne +6 more
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Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filter
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Synthetic aperture radar (SAR) images are often affected by range ambiguity due to antenna sidelobe characteristics and pulse operating mechanism. The work of range ambiguity suppression focuses on both SAR system design and signal processing. On the one
Meng Qi +4 more
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EnergiesThis work presents the design, modeling, and experimental validation of an innovative, highly autonomous, and economically viable photovoltaic solar cooker, integrating a robust battery storage system.
Bilal Zoukarh +7 more
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