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On the energy landscape of symmetric quantum signal processing [PDF]

open access: yesQuantum, 2022
Symmetric quantum signal processing provides a parameterized representation of a real polynomial, which can be translated into an efficient quantum circuit for performing a wide range of computational tasks on quantum computers. For a given polynomial $f$
Jiasu Wang, Yulong Dong, Lin Lin
doaj   +5 more sources

Energy Efficiency of Distributed Signal Processing in Wireless Networks: A Cross-Layer Analysis [PDF]

open access: greenIEEE Transactions on Signal Processing, 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 ...
Giovanni Geraci   +2 more
core   +7 more sources

Linear optical wave energy redistribution methods for photonic signal processing [PDF]

open access: diamondnpj Nanophotonics
Manipulating the phase of an optical wave over time and frequency gives full control to the user to implement a wide variety of energy preserving transformations directly in the analogue optical domain. These can be achieved using widely available linear
Connor Rowe   +10 more
doaj   +4 more sources

Shannon’s Energy Based Algorithm in ECG Signal Processing [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2017
Physikalisch-Technische Bundesanstalt (PTB) database is electrocardiograms (ECGs) set from healthy volunteers and patients with different heart diseases. PTB is provided for research and teaching purposes by National Metrology Institute of Germany. The analysis method of complex QRS in ECG signals for diagnosis of heart disease is extremely important ...
Hamed Beyramienanlou, Nasser Lotfivand
openaire   +3 more sources

Energy-Efficient Signal Processing Using FPGAs [PDF]

open access: bronzeProceedings of the 2003 ACM/SIGDA eleventh international symposium on Field programmable gate arrays - FPGA '03, 2005
In this paper, we present techniques for energy-efficient design at the algorithm level using FPGAs. We then use these techniques to create energy-efficient designs for two signal processing kernel applications: fast Fourier transform (FFT) and matrix multiplication.
Ju-Wook Jang   +3 more
openalex   +3 more sources

Integrated Memristor Network for Physiological Signal Processing

open access: yesAdvanced Electronic Materials, 2023
Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiological features.
Lei Cai   +7 more
doaj   +2 more sources

EC-CENTRIC: An Energy- and Context-Centric Perspective on IoT Systems and Protocol Design [PDF]

open access: yesIEEE Access, 2017
The radio transceiver of an Internet of Things (IoT) device is often where most of the energy is consumed. For this reason, most research so far has focused on low-power circuit and energy-efficient physical layer designs, with the goal of reducing the ...
Alessandro Biason   +6 more
doaj   +3 more sources

Energy Efficient Biomedical Signal Processing in Implantable Devices

open access: hybridAdvances in Science and Technology, 2008
Implantable cardiac devices have very strict restrictions on energy dissipation since battery change requires surgery. Today the battery longevity of pacemakers during standard use is up to 10 years which might seem sufficient. However, new functionality is constantly being introduced requiring more advanced signal processing algorithms which in turn ...
Viktor Öwall   +2 more
openalex   +2 more sources

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing [PDF]

open access: greenIEEE 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
openalex   +4 more sources

An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications [PDF]

open access: goldItalian National Conference on Sensors, 2018
Rapid progress and emerging trends in miniaturized medical devices have enabled the un-obtrusive monitoring of physiological signals and daily activities of everyone’s life in a prominent and pervasive manner.
Ali Hassan Sodhro   +4 more
openalex   +2 more sources

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