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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.
Albu, D., Lukkien, J.J., Verhoeven, R.
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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
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Energy-efficient soft error-tolerant digital signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2006In 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.
Byonghyo Shim, Naresh R. Shanbhag
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Analysis and Design of Energy Efficient Time Domain Signal Processing
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016Time domain signal processing (TDSP) encodes information into time rather than voltage with higher efficiency than conventional digital design. This paper performs systematical analysis on the design principle and energy efficiency of TDSP. Variation impact, which poses significant challenges to TDSP, is evaluated and a variation driven design ...
Zhengyu Chen 0002, Jie Gu 0001
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Advanced signal-processing algorithms for energy-efficient wireless communications
Proceedings of the IEEE, 2000Substantial progress has been made in the receiver signal-processing algorithms for wireless communications to minimize the requirements on signal-to-noise (and/or interference) power ratio and computational complexities for the same quality of service.
Carlo Luschi +9 more
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Energy-Efficient Mixed-Signal Circuits and Systems for Communication and Signal Processing
2022In recent years, there has been an explosive increase in digital data generated globally, driven by various online applications such as video streaming, social media, shopping, gaming, etc. With the rise of deep learning and the Internet of Things (IoT), this trend is likely to be maintained for the foreseeable future.
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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 ...
Rajamohana Hegde, Naresh R. Shanbhag
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Area–Energy–Error Optimized Faithful Multiplier for Digital Signal Processing
Circuits, Systems, and Signal Processing, 2021Approximate computing is a striking approach to design area-efficient low-power datapath units for fault buoyant applications. This brief presents the design of a novel 4: 2 approximate compressor that generates no error in the carry signal. The proposed compressor is employed for partial product (PP) compression in two variants of Dadda multiplier to ...
Kalaiselvi Sundaram +5 more
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Mixed-Signal Spin/Charge Reconfigurable Array for Energy-Aware Compressive Signal Processing
2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2019Recently, 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 +2 more
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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 ...
Viktor Öwall +2 more
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