Results 301 to 310 of about 3,743,775 (372)

Energy-Adaptive Signal Processing Under Renewable Energy

Journal of Signal Processing Systems, 2015
This 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
openaire   +2 more sources

Energy-Efficient Signal Processing Architectures for IoT Networks Design

2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN)
The proliferation of Internet of Things (IoT) devices in diverse applications, ranging from smart homes to industrial automation, has significantly increased the demand for energy-efficient signal processing architectures.
Arpit Jain
openaire   +2 more sources

Approximate Pruned and Truncated Haar Discrete Wavelet Transform VLSI Hardware for Energy-Efficient ECG Signal Processing

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
semanticscholar   +1 more source

Energy Efficient Digital Signal Processing

Optical Fiber Communication Conference, 2014
We 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
openaire   +1 more source

Processing Energy and Signals by Molecular and Supramolecular Systems

Chemistry – A European Journal, 2007
AbstractAny 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
openaire   +2 more sources

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Quantum 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
semanticscholar   +1 more source

Energy efficient Digital Signal Processing

2010 53rd IEEE International Midwest Symposium on Circuits and Systems, 2010
This 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
openaire   +1 more source

Circuits for energy harvesting sensor signal processing

2006 43rd ACM/IEEE Design Automation Conference, 2006
The 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 ...
Rajeevan Amirtharajah   +4 more
openaire   +1 more source

Energy-efficient signal processing in wearable embedded systems

Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design, 2012
Many wearable embedded systems benefit from classification algorithms where statistical features extracted from physiological signals are mapped onto different user's states such as health status of a patient or type of activity performed by a subject.
Hassan Ghasemzadeh   +2 more
openaire   +1 more source

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