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Energy-Adaptive Signal Processing Under Renewable Energy
Journal of Signal Processing Systems, 2015This paper presents an energy-adaptive performance management technique for the design of embedded signal processing systems powered by renewable energy sources. By jointly considering the non-deterministic characteristics of renewable energy and the unique relationship between signal processing performance and the required energy consumption, a ...
Junlin Chen, Lei Wang
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Energy Efficient Digital Signal Processing
Optical Fiber Communication Conference, 2014We discuss the major power reduction trends for DSP-ASICs used in coherent optical interfaces that target line card and pluggable applications. Optimization measures are shown for the digital and physical design of such integrated circuits.
Maxim Kuschnerov +2 more
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2021
The approximate computing paradigm emerged as a key alternative for trading off accuracy and energy efficiency. Error-tolerant applications, such as multimedia and signal processing, can process the information with lower-than-standard accuracy at the ...
Henrique Seidel +5 more
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The approximate computing paradigm emerged as a key alternative for trading off accuracy and energy efficiency. Error-tolerant applications, such as multimedia and signal processing, can process the information with lower-than-standard accuracy at the ...
Henrique Seidel +5 more
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Processing Energy and Signals by Molecular and Supramolecular Systems
Chemistry – A European Journal, 2007AbstractAny kind of device or machine requires a substrate, energy, and information signals. If we wish to operate at the nanometer scale, we must use molecules as substrates. Energy‐ and signal‐processing at a molecular level relies on cause/effect relationships between the input supplied and the kind of process obtained.
BALZANI, VINCENZO +2 more
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Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020Quantum computers threaten to break public-key cryptography schemes such as DSA and ECDSA in polynomial time, which poses an imminent threat to secure signal processing.
Hamid Nejatollahi +3 more
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Speech coding for energy-efficient digital signal processing [PDF]
Waveform coding techniques known from low bitrate communication are evaluated for their usefulness in low-power digital filtering of speech signals as used in hearing aids or mobile communication applications. Experimental results are presented to quantify potential power savings subject to statistical signal properties and operating conditions ...
Wolfgang Fichtner +3 more
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Energy efficient Digital Signal Processing
2010 53rd IEEE International Midwest Symposium on Circuits and Systems, 2010This paper focuses on issues related to energy efficient Digital Signal Processing (DSP) - taking a Systems-to-Silicon approach. This implies that achieving maximum energy efficiency in a DSP system is a distributed task from the systems level (compilers, algorithm design etc.) to a silicon (transistor, process technologies etc.) level.
Neeraj Magotra, Jim Larimer
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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.
Richard Verhoeven +2 more
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Circuits for energy harvesting sensor signal processing
2006 43rd ACM/IEEE Design Automation Conference, 2006The recent explosion in capability of embedded and portable electronics has not been matched by battery technology. The slow growth of battery energy density has limited device lifetime and added weight and volume. Passive energy harvesting from solar radiation, thermal sources, or mechanical vibration has potentially wide application in wearable and ...
Jeff Siebert +4 more
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