Results 311 to 320 of about 3,743,775 (372)

Energy-efficient soft error-tolerant digital signal processing

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2006
In this paper, we present energy-efficient soft error-tolerant techniques for digital signal processing (DSP) systems. The proposed technique, referred to as algorithmic soft error-tolerance (ASET), employs low-complexity estimators of a main DSP block to achieve reliable operation in the presence of soft errors.
null Byonghyo Shim, N.R. Shanbhag
openaire   +1 more source

Energy-efficient soft error-tolerant digital signal processing

The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2004
In this paper, we present energy-efficient soft error (SE)-tolerant techniques for digital signal processing (DSP) systems. The proposed technique, referred to as algorithmic soft error-tolerance (ASET), employs an low-complexity estimator of a main DSP block to guarantee reliability in presence of soft errors either in the MDSP or the estimator.
B. Shim, N.R. Shanbhag, S. Lee
openaire   +1 more source

Speech coding for energy-efficient digital signal processing

Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144), 2000
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 ...
J. Wassner, H. Kaeslin, N. Felber, W. Fichtner   +3 more
openaire   +1 more source

Anisotropic Signal Processing with Trigonal Selenium Nanosheet Synaptic Transistors.

ACS Nano, 2020
Hardware implementation of an artificial neural network requires neuromorphic devices to process information with low energy consumption and high heterogeneity.
J. Qin, F. Zhou, Jingli Wang, Jiewei Chen, Cong Wang, Xuyun Guo, Shouxin Zhao, Y. Pei, L. Zhen, P. Ye, S. Lau, Ye Zhu, Chengyan Xu, Y. Chai   +13 more
semanticscholar   +1 more source

Energy-efficient signal processing via algorithmic noise-tolerance

Proceedings of the 1999 international symposium on Low power electronics and design - ISLPED '99, 1999
In 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 ...
R. Hegde, N.R. Shanbhag
openaire   +1 more source

Reliable and energy-efficient digital signal processing

Proceedings of the 39th conference on Design automation - DAC '02, 2002
This 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   +1 more source

Event-Driven Signal Processing with Neuromorphic Computing Systems

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Neuromorphic 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

Ternary Spike-based Neuromorphic Signal Processing System

Neural Networks
Deep Neural Networks (DNNs) have been successfully implemented across various signal processing fields, resulting in significant enhancements in performance.
Shuai Wang, Dehao Zhang, A. Belatreche, Yichen Xiao, Hongyu Qing, Wenjie Wei, Malu Zhang, Yang Yang   +7 more
semanticscholar   +1 more source

Mixed-Signal Spin/Charge Reconfigurable Array for Energy-Aware Compressive Signal Processing

2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2019
Recently, significant attention has been given to hardware realization of Orthogonal Matching Pursuit (OMP) algorithms for signal reconstruction. Some CMOS-only approaches have been proposed in the literature which minimize overheads impacting throughput by exploiting parallelism within OMP techniques.
Adrian Tatulian, Soheil Salehi, Ronald F. DeMara   +2 more
openaire   +1 more source

Energy processing techniques for stress wave emission signals

The Journal of the Acoustical Society of America, 1979
This paper describes the construction of two circuits capable of measuring the energy of transient signals, in particular, stress wave emission (SWE) signals. Energy of SWE signals cannot be measured by conventional energy meters since these meters require a repetitive signal, and by nature SWE signals are nonrepetitive.
openaire   +1 more source