A Novel Low-Power Domino Logic Technique Providing Static Output in Evaluation Phase for High Frequency Changing Inputs

2014 ◽  
pp. 455-463
Author(s):  
Sumit Sharma ◽  
Kamal Kant Kashyap
Keyword(s):  
Low Power ◽  
High Frequency ◽  
Domino Logic ◽  
Evaluation Phase ◽  
Static Output

scholarly journals An efficient high speed, high frequency domino-logic based circuit

2018 ◽  
Vol 7 (2) ◽  
pp. 252
Author(s):  
Mahdi Zare ◽  
Hossein Manouchehrpour ◽  
Ahmad Esmaeilkhah
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Frequency ◽  
High Speed ◽  
Large Scale ◽  
Considerable Improvement ◽  
Low Power Consumption ◽  
Domino Logic ◽  
Large Scale Integration ◽  
Scale Integration

As the Very Large-Scale Integration (VLSI) techniques are mostly focused on high-speed and low power consumption circuits, various techniques and technologies were investigated to gain these two precious goals. Domino-logic is one of the circuits which is regarded to have high speed, high frequency and low power consumption. This work proposes a Domini logic circuit which has improved PDP compare to the previous one. The suggested circuit was simulated and the attained results show a considerable improvement in circuit’s speed in respect with its ancestor. The PDP of the circuit in 90 nm, biased at 1V, has been calculated as 53% approximately improvement. This improvement for PDP in 65 nm, 45 nm and 32 nm are 48%, 47% and 51% respectively.  

High frequency, large displacement, and low power consumption piezoelectric translational actuator based on an oval loop shell

2012 ◽  
Vol 176 ◽  
pp. 99-109 ◽  
Author(s):  
Taiho Yeom ◽  
Terrence W. Simon ◽  
Min Zhang ◽  
Mark T. North ◽  
Tianhong Cui
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Frequency ◽  
Large Displacement ◽  
Low Power Consumption

scholarly journals A Neuromorphic Spiking Neural Network Detects Epileptic High Frequency Oscillations in the Scalp EEG

2021 ◽  
Author(s):  
Karla Burelo ◽  
Georgia Ramantani ◽  
Giacomo Indiveri ◽  
Johannes Sarnthein
Keyword(s):  
Low Power ◽  
Seizure Frequency ◽  
High Frequency ◽  
Therapy Monitoring ◽  
Non Invasive ◽  
Scalp Eeg ◽  
High Frequency Oscillations ◽  
Eeg Recordings ◽  
Active Epilepsy ◽  
Wearable Electronic Devices

Abstract Background: Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This has aroused interest in investigating their potential as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. The demand for therapy monitoring in epilepsy has kindled interest in compact wearable electronic devices for long- term EEG recording. Spiking neural networks (SNN) have been shown to be optimal architectures for being embedded in compact low-power signal processing hardware. Methods: We analyzed 20 scalp EEG recordings from 11 patients with pediatric focal lesional epilepsy. We designed a custom SNN to detect events of interest (EoI) in the 80-250 Hz ripple band and reject artifacts in the 500-900 Hz band. Results: We identified the optimal SNN parameters to automatically detect EoI and reject artifacts. The occurrence of HFO thus detected was associated with active epilepsy with 80% accuracy. The HFO rate mirrored the decrease in seizure frequency in 8 patients (p = 0.0047). Overall, the HFO rate correlated with seizure frequency (rho = 0.83, p < 0.0001, Spearman’s correlation).Conclusions: The fully automated SNN detected clinically relevant HFO in the scalp EEG. This is a further step towards non-invasive epilepsy monitoring with a low-power wearable device.

High frequency InAs-channel HEMTs for low power ICs

2004 ◽  
Author(s):  
Y. Royter ◽  
K.R. Elliott ◽  
P.W. Deelman ◽  
R.D. Rajavel ◽  
D.H. Chow ◽  
...  
Keyword(s):  
Low Power ◽  
High Frequency
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