Results 311 to 320 of about 3,640,313 (369)
Some of the next articles are maybe not open access.
Anisotropic Signal Processing with Trigonal Selenium Nanosheet Synaptic Transistors.
ACS Nano, 2020Hardware implementation of an artificial neural network requires neuromorphic devices to process information with low energy consumption and high heterogeneity.
J. Qin +13 more
semanticscholar +1 more source
Energy Efficient Biomedical Signal Processing in Implantable Devices
Advances in Science and Technology, 2008Implantable 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 ...
Joachim Neves Rodrigues +2 more
openaire +2 more sources
Reliable and energy-efficient digital signal processing
Proceedings of the 39th conference on Design automation - DAC '02, 2002This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable and energy-efficient digital signal processing systems. Techniques such as prediction-based, error cancellation-based, and reduced precision redundancy based ANT are discussed. Average energy-savings range from 67% to 71% over conventional systems. Fluid IP core
openaire +2 more sources
Event-Driven Signal Processing with Neuromorphic Computing Systems
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020Neuromorphic hardware has long promised to provide power advantages by leveraging the kind of event-driven, temporally sparse computation observed in biological neural systems.
Peter Blouw, C. Eliasmith
semanticscholar +1 more source
Green Energy for the Reception and Processing of Satellite and Microwave Signals
2020In recent years, the supply of energy by renewable systems has taken a lot of strength, particularly in this research is considered a strength in the application to telecommunications networks, specifically in the headend where the reception and processing of voice signals is carried out, video and data.
Daniel Icaza +2 more
openaire +2 more sources
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 ...
Rajeevan Amirtharajah +2 more
openaire +2 more sources
BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021Coarse Grained Reconfigurable Architectures (CGRAs) have proved to be viable platforms for health monitoring applications. Targeting energy-efficiency, state-of-the-art (SoA) CGRAs are augmented with approximation techniques, while still maintain acceptable accuracy at final Quality of Result (QoR).
Akash Kumar, Zahra Ebrahimi
openaire +2 more sources
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.
Toshifumi Hasama +2 more
openaire +2 more sources
An energy efficient scheduling scheme for signal processing applications
Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 2002We propose a time constrained energy efficient scheduling technique for signal processing applications. Specifically, we propose a scheduling algorithm, (DFMVS), which utilizes the concept of dynamic frequency clocking and multiple voltage scaling. In the dynamic frequency scheme, all units are driven by a single clock line which changes at run time ...
N. Vijaykrishnan +2 more
openaire +2 more sources
Energy-efficient signal processing via algorithmic noise-tolerance
Proceedings of the 1999 international symposium on Low power electronics and design - ISLPED '99, 1999In this paper, we propose a framework for low-energy digital signal processing (DSP) where the supply voltage is scaled beyond the critical voltage required to match the critical path delay to the throughput. This deliberate introduction of input-dependent errors leads to degradation in the algorithmic performance, which is compensated for via ...
Naresh R. Shanbhag, R. Hegde
openaire +1 more source